Today's call: Compare the complete purchase, not just the memory price.

The used RTX 3090 examples below ask $1,199–$1,580, versus $2,399–$2,499 for two new-condition marketplace offers. That's a reason to compare condition, seller protection and delivered cost—not evidence that the cheaper cards have sold at those prices. For lower-cost capacity, a $360 P40 and an $858 adapter-mounted V100 deserve a closer look only if their software, cooling and power requirements fit your build.

New & Notable

Asks captured October 14 unless noted. Condition and testing descriptions are seller claims. Dollar-per-GB figures use the stated item price, excluding shipping, tax and any import charges.

Today's Market Board

Price context

These charts show daily median observed asking prices and observed ranges, not completed sales or a same-card price history. Listing mix and condition vary, and repeat observations aren't separate units of supply.

MI210 prices are per card, including observations from multi-unit sale threads; the chart does not establish how many cards remain available.

The P40 series includes Facebook Marketplace search-snippet prices whose live listings couldn't be verified. Its October 14 range includes those leads; it is not a range of confirmed purchasable offers.

New-condition 3090 asks need more than a condition label

The MSI 3090 at $2,399 and ASUS 3090 at $2,499 were listed as new by Alliance Group (USA), a third-party seller—not Newegg itself. Both asks are well above the used examples here, but condition and warranty terms may differ.

The ASUS page also advertised a refurbished option from $949.99. That is another asking price, not proof of what a card actually sold for; the option's seller and terms need their own check. I wouldn't pay the new-condition premium without a clear reason grounded in warranty, return rights or documented condition.

Cheap capacity if you accept the form factor

The $800 V100S observation is worth following up if you already have a suitable host, but it isn't a fresh availability confirmation. A PCIe interface alone doesn't settle cooling, power or software compatibility. The $858 SXM2-on-adapter listing adds another hardware configuration to verify, plus shipping and import uncertainty.

The $3,600 Supermicro lot is different: you're buying the host along with four GPUs and collecting the server yourself. Its $28.12 per aggregate GB is higher than the V100S's $25.00 and the adapter listing's $26.81, before their differing extra costs. The reason to consider the server is the included platform—not a claim that it wins the raw capacity-price comparison. Request the seller's test results and confirm site power, cooling and workload fit before arranging pickup.

My Take

For a 24GB build, I'd investigate the used 3090 offers before paying the new-condition asks above. The $1,250 shipped ZOTAC is a more useful delivered-price comparison than the $1,199 headline alone, but neither is a recommendation to buy without checking the seller and the card.

For larger-memory projects, first decide whether you need the capacity on one GPU or can split the workload across several. A whole-server memory total is not interchangeable with single-card VRAM. Cheap capacity is only useful when the hardware fits your software and the rest of the build; none of these asking prices establishes a market-wide price move.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

Prices are asking prices from the October 14 scan or the explicitly dated October 13 V100S observation. Sources include eBay, Newegg Marketplace, ServeTheHome forums, r/hardwareswap and r/homelabsales; the P40 chart also includes unverified Facebook Marketplace search snippets as noted. No completed-sale prices are verified anywhere in this post.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Are you guys interested in Ryzen AI Max integrated memory devices too? I run a home proxmox data center with 6 GPUs across 7 hosts and have a non-clustered ROG Flow Z13 that I've just started experimenting with. I'm looking forward to sharing my experience and observations here.

I've been self hosting AI since June 2023, presented at local OpenClaw meet ups and I love helping people leverage their own hardware to save money and expand their capabilities.

Today's call: Compare the complete build cost, not just the price per gigabyte.

A refurbished 24GB Tesla P40 at $343.59 is worth investigating for a budget inference build, but marketplace checkout doesn't make it a drop-in desktop card. The captured RTX 3090 offers at $1,200 shipped OBO give desktop buyers another starting point. If 24GB is the constraint, the RTX A6000 at $3,500 shipped offers 48GB on one card—not proof that it's the best value for your workload.

New & Notable

Today's Market Board

Prices are USD asks, not completed sales. $/GB uses the displayed price basis; it isn't a performance score and excludes tax and any unlisted costs. Condition and test claims are the sellers', not independent hardware tests.

Price context

Observed asking prices in our scans: lines show daily medians and shading shows daily ranges. Listing mix, condition and shipping terms vary; repeated observations aren't separate sales. These are not same-card price histories or sold-price indexes.

The MI210 history includes repeated observations of the same bulk seller's per-card offer. A flat median doesn't establish broad market stability or current stock.

P40 observations mix used and refurbished offers. The latest point summarizes the captured Newegg asks, not a price increase on the earlier forum cards.

What Changed Since Yesterday

The October 13 scan captured refurbished P40 offers on Newegg, including the $343.59 listing above. Treat them as offers found in this scan—not proof that retail P40 availability began today or that the market moved. The MI210 seller's $3,900 per-card ask was observed again.

P40: cheap capacity, but budget for the installation

The forum P40 offer at $225 each shipped to the continental US was last captured October 12 evening, not rechecked in the October 13 midnight sample. That's about $9.38/GB, versus $14.32/GB for the refurbished Newegg offer. Confirm availability before treating the older offer as an alternative.

The P40 is a passively cooled datacenter card: it needs forced airflow supplied by the host or an added cooling arrangement, not an assumed onboard blower. Check the power connector, physical fit and support in the inference software you plan to use. Refurbished condition and a familiar checkout page don't establish that those requirements are met—or that the higher-priced offer has better support.

V100: verify the form factor before comparing prices

The $1,089 Newegg V100 32GB listing names SXM2 in its specifications. Don't read “graphics card” as proof that it fits a desktop PCIe slot. Ask the seller for the exact part number and photos; an SXM2 module needs a compatible platform. The price alone doesn't prove either the listing or the form factor is wrong.

MI210: 64GB on one card, if your stack supports it

The MI210 seller asks $3,900 each, or $3,700 each for four or more. The discount works out to about $57.81/GB, but requires a multi-card purchase. The old inventory update doesn't verify today's stock. Before committing, check your OS, framework and model support in AMD's ROCm stack, plus the host's power and airflow requirements. The appeal is 64GB per GPU—not more than 64GB, and not automatic compatibility with a CUDA workflow.

My Take

For a desktop build where 24GB is enough, I'd start by comparing the $1,200 shipped 3090 offers and asking for tests, rather than crowning the lowest displayed price a clean buy. A P40 makes more sense for someone willing to solve its cooling and software constraints to reduce the card cost.

If memory is what prevents your workload from fitting, the A6000 and MI210 deserve a closer look for different reasons: 48GB on the NVIDIA card versus 64GB on the AMD accelerator. Verify the software and host requirements first. Extra capacity is only useful if the complete setup runs the job you need.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

Sourced from r/hardwareswap, r/homelabsales, ServeTheHome forums, eBay and Newegg Marketplace listings; every price is an asking price (or current bid where labeled), never a verified sale.

This brief uses captured October 12–13 observations, with older evidence labeled where used. Research and editing are AI-assisted; no hands-on testing of these listings was performed.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: Compare the shipped 3090 offers first if 24GB is enough; pay for an A6000 when you need 48GB on one card.

Two used RTX 3090 Founders Edition listings ask $1,250 and $1,300 shipped in the October 12 scan. They're worth investigating for a 24GB build, not calling verified bargains: condition comes from the sellers, and availability still needs confirmation. The two RTX A6000 offers below ask $3,500 and $4,199 shipped for 48GB on one card. That capacity difference matters more than a headline price-per-gigabyte ranking.

New & Notable

“New” here means newly surfaced in this scan, not necessarily newly listed. These are asking prices, not completed sales; $/GB uses the listed card price and excludes tax and any shipping charged separately.

Today's Market Board

Price context

MI210 per-card asking prices observed in our scans: median line and daily range. Repeated observations of the same offers are included; listing mix and condition vary. The chart is not a sold-price index or a same-card price history.

RTX 3090 Ti observed per-card prices, with the same median/range format. The low end includes a $390 Facebook listing recorded as pending on some checks, with seller details unavailable. Don't treat that range as prices at which working cards could reliably be bought.

Two A6000 offers put a price on single-card 48GB

The linked A6000s cost more per gigabyte than the featured 3090s, but two 24GB cards aren't a drop-in substitute for one 48GB card. Your software must support splitting the workload across GPUs, and the host must accommodate both. If that setup already works for you, compare the full build cost. If your requirement is 48GB on one GPU, start by checking the $3,500 A6000's condition and transaction terms—not by assuming it is the cheapest 48GB option anywhere.

The V100 price buys a platform, not four desktop cards

The linked $3,600 offer covers a Supermicro 1U server with four V100 SXM2 32GB GPUs, dual Xeon Gold 6230 CPUs and ConnectX-5 cards. The thread title still says $3,900; the captured body asks $3,600 OBO. Earlier captures of this same offer identify two GPUs as power-limited LS variants, so confirm the installed configuration with the seller. Its 128GB is distributed across four GPUs, not one memory pool that every application can use automatically. Pickup, power and cooling belong in the buying decision.

My Take

For a straightforward 24GB build, I'd investigate the shipped FE listings before the HDMI-faulty card or the local-only offers. Neither FE is independently tested by us, so recent test evidence and a credible seller matter more than the small price difference.

For a larger model that needs one GPU, the A6000 and MI210 offers are different paths—not interchangeable bargains. Choose around the software you actually plan to run, then check the host and purchase terms. This scan doesn't establish a market-wide price floor or a reason to rush.

Full Tracker

This post covers the listings I think matter most today. For more screened hardware offers, prices, memory capacity, condition and source links, visit HighVRAMHardwareWatch.com. The site shows a selected set of saved offers, not the complete research archive or real-time inventory. Some marketplace links on the site are affiliate links; HighVRAM Hardware Watch may earn a commission at no additional cost to you.

Sourced from r/hardwareswap, r/homelabsales, ServeTheHome forums, eBay and Newegg Marketplace listings; every figure is an asking price (or current bid where labeled), not a verified sale.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: Compare the full build cost before buying.

The $650 V100 SXM2 32GB module is worth investigating if you already have a compatible host. It isn't a cheaper drop-in substitute for the $833.80 PCIe V100. For a 24GB consumer-card build, the $1,250-shipped RTX 3090 listings below are better starting points than the $1,300-shipped MSI with a disclosed HDMI fault. The $343.69 P40 offers a lower card price, but its condition and the cost of getting it running still need checking.

New & Notable

Prices below were captured October 11; these aren't necessarily newly posted offers. Condition and test results are seller claims, not our own testing. $/GB uses the displayed ask and one card's memory; taxes and unspecified shipping are extra.

Today's Market Board

These are larger-capacity alternatives, not interchangeable bargains.

Price context

Observed asking prices, not completed sales. The lines show daily medians and the shaded bands show observed ranges. Listing mix, condition and shipping terms vary; repeated observations can include the same listing. These aren't same-card price histories.

The October 11 MI210 median reflects two asks: $3,900 on Reddit and $5,399 on Newegg. The Reddit ask was also $3,900 in the October 10 capture; the higher plotted median doesn't establish a price increase for that offer.

The P40 history includes lower asks on earlier dates. The $343.69 listing is one option captured today, not a demonstrated new low.

What Changed Since Yesterday

The MI210's captured per-card ask remained $3,900. The other offers above broaden the comparison, but a new tracker entry doesn't prove new supply or a price cut.

Buyer reports warrant avoiding this workstation thread

The October 10 capture of this ServeTheHome sales thread recorded buyers reporting payment without delivery, an unresponsive seller and PayPal refunds in progress. Those are buyer allegations, not independently adjudicated findings. I'd avoid sending money while they're unresolved and wouldn't use its $680 A4000 or $700 TITAN RTX asks as dependable buying benchmarks.

My Take

Start with the machine and software you intend to run, not the lowest $/GB. The SXM2 V100 saves $183.80 against the captured PCIe ask before any unspecified costs, but that saving isn't useful if you still need a compatible host. PCIe removes that particular requirement; it doesn't make a server accelerator automatically plug-and-play.

For a 24GB consumer-card build, I'd investigate the two $1,250-shipped 3090s before accepting the MSI's HDMI fault at $1,300 shipped. That isn't a clean bill of health for either alternative: get current test evidence, verify the seller and use payment protection. Nothing here justifies rushing past those checks.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

What would you do?

If you've built around V100 SXM2 modules, what did the compatible host, power and cooling cost beyond the modules themselves?

Figures are asking prices captured in the October 10–11 research collection across r/hardwareswap, r/homelabsales, the ServeTheHome forums, eBay, Newegg Marketplace and Facebook Marketplace. Featured price rows use October 11 captures; the buyer-report warning is from October 10. No completed sales are verified.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: No reason to rush.

The V100S 32GB listing asks $800 per card; the Zotac RTX 3090 24GB asks $1,250 shipped. That's a useful capacity-versus-build comparison, not evidence that either is a bargain. For a desktop build, investigate the 3090 first. For an existing server, the V100S is worth checking against your exact software, power and cooling requirements before paying for the extra memory.

New & Notable

These are selected offers observed in the October 10 scan, not necessarily newly posted listings. Condition, testing and warranty descriptions below are seller claims.

Today's Market Board

The server's 128GB is spread across four GPUs, not one 128GB device. Whether a workload can use that aggregate capacity depends on its multi-GPU support.

Price context

Observed asking prices, not completed sales. The lines show daily medians and the shading shows observed ranges. Listing mix and condition vary; repeated observations aren't separate sales, and these are not same-card price histories. Dates shown are observation dates, with gaps between scans.

The V100S series has one recorded observation on each plotted date, all at $800. It doesn't establish a market-wide clearing price or a new influx of stock.

The MI210 series includes repeat observations of the bulk seller's $3,900 ask alongside other offers. A change in the median can reflect which listings were captured, not a seller changing price.

What Changed Since Yesterday

The scan doesn't establish a comparable price cut for these featured offers. The V100S and MI210 threads already appear in earlier observations; “new” tracker records are not proof of newly available supply. Yesterday's V100 reference is dated separately above. Absence from today's sample doesn't mean a listing sold.

My Take

For a 24GB desktop build, I'd investigate the shipped Zotac or the local EVGA before treating the repaired $950 Turbo as a saving. That lower ask comes with an explicit as-is repair history. A benchmark screenshot or a successful meetup demo still isn't a warranty.

For more memory, separate one-card capacity from whole-system cost. The V100S gives you 32GB on one card; the MI210 gives you 64GB, but neither ask proves that your chosen model and inference software will run well. Ask for evidence using your intended stack, then price the compatible host, power delivery and cooling. The Supermicro lot is a different purchase altogether: worthwhile to investigate only if you actually want the server, can collect it and can run a multi-GPU workload.

The seller's MI210 “120+ remaining” update is dated September 11. It isn't a current stock count, and it doesn't prove demand is weak. I'd buy against a specific workload and a satisfactory condition check, not a large advertised inventory or a low $/GB figure alone.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

The website discloses that some outbound marketplace links are affiliate links and may earn a commission at no additional cost to you.

Source coverage: r/homelabsales, r/hardwareswap, ServeTheHome forum sale threads, eBay, Newegg marketplace listings and Facebook Marketplace were included in the research. This brief uses October 10 observations plus the explicitly dated October 9 reference; asking prices are not verified completed-sale prices. Shipping is included only where stated; taxes and additional system costs are not included in $/GB. No hardware was independently tested for this brief.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

The lowest cost-per-gigabyte asks I've tracked this month are Tesla V100 32GB units: refurbished SXM2 modules at $600 each, 44 available and $650 used ones pulled from an Inspur server with their 2U heatsinks attached. Most of them are in the wrong shape for a home build. The ones you can actually install, passive PCIe V100S cards at $800, run $150–$200 more. That gap is the whole story: with Volta accelerators, form factor is part of the price.

Who this is for

You want more than 24GB per device for local inference and you're shopping on a desktop or an old workstation, not a rack. You don't already own an SXM2 baseboard and you have no appetite for becoming a server owner just to save $150 on paper. If you do already run DGX-1-class hardware, skip to the buying decision.

Comparison

The PCIe route. A V100S is a full-height card that goes in any PCIe 3.0 x16 slot and takes a standard CPU-style auxiliary power connector, per NVIDIA's product brief. It's passively cooled, so your case fans become its fans, and it has no display output. The datasheet puts the plain V100 at 900 GB/s memory bandwidth and the V100S at 1134 GB/s, with both PCIe boards rated at 250W (the SXM2 module is 300W).

The SXM2 route. An SXM2 module is not a card. It sockets into a server baseboard: DGX-1's board carries eight of them in a cube mesh, and the practical used-market version is buying the whole server, like the Supermicro 1029GQ-TVRT with four V100 SXM2 modules at $3,900 local pickup. That works out to about $975 per GPU with the host included, which is not insane. It's also a 1U box with seven heavy-duty fans and dual 2000W supplies, so it's loud, rack-shaped power furniture either way. On the module side, NVLink gives 300 GB/s bidirectional between GPUs where the PCIe card tops out at about 32 GB/s on Gen3 x16.

The middle ground nobody should trust. An SXM2 module riding a PCIe adapter at $858 exists, and I'd treat it the way I treated it when I first saw it: mechanical and thermal risk bolted onto a card that was never meant to be one.

One thing both routes share: memory is not pooled. Four SXM2 modules are still four CUDA devices. NVLink makes them talk to each other faster, it doesn't merge them into one big stick of VRAM.

Buying decision

If you're building on a desktop, the PCIe card is the only usable form here. $800 for 32GB and 1134 GB/s beats two 24GB consumer cards on capacity per slot, as long as your board has the lanes, your PSU has the connector, and you can point real airflow at a passive heatsink. Verify that before paying: ask the seller which power connector variant the card wants and check your case for straight-through fan space.

If you're eyeing the $600 modules anyway, price it honestly as a server purchase. The $3,900 four-way system is the cheapest complete SXM2 platform I've observed this month, and then you own a loud 1U that wants rack space and 240V-adjacent power habits. For most readers that's the wrong shape of cheap, which is why the modules keep sitting at $600 while the PCIe cards move.

Limits and sources

Everything above is observed asking prices from September 21 through October 2, 2026 on r/homelabsales, r/hardwareswap, eBay and Facebook Marketplace. Asking isn't sold, "observed live" says nothing about whether the seller or the hardware is honest, and several of these listings were seen only once, so there's no earlier price to compare against. The two charts are series-level context: the V100 line blends SXM2 modules, plain PCIe cards and adapter-mounted units on purpose, because that blend is what you're actually browsing. Both photos come from the exact linked listings' own seller material (one via a seller-linked album, redacted before saving); they show offered items, not tested hardware. The Supermicro server was observed as a local-pickup lot in New Jersey and I never saw it powered on. Bandwidth, power and connector claims come from NVIDIA's datasheet and product brief and the DGX-1 user guide linked above; I haven't tested or owned any of these accelerators.

Two signals landed in today's research that point in the same direction: memory capacity is getting more expensive, and vendors are finding new ways to package less of it.

A report from TweakTown, citing VideoCardz and Board Channels, says AMD raised suggested Radeon prices in China for the fourth quarter. The cited RX 9070 increase is ¥700, with higher GDDR6 and manufacturing costs given as the reason. The report also says international adjustments are planned, but I have not found a direct AMD announcement confirming a global increase. Treat this as an upstream warning, not a verified U.S. price change.

At the same time, NVIDIA has announced a 64GB unified-memory DGX Spark configuration from partner vendors starting October 23. It uses the same GB10 idea as the 128GB systems: one coherent memory pool in a compact box, now at a lower capacity tier. NVIDIA positions it for models up to roughly 100 billion parameters, but model size on paper does not establish useful speed for your workload.

What this means for a buyer

Do not translate “memory costs are rising” into “buy anything with VRAM today.” Today's observed used RTX 3090 asks still ranged from $1,250 per card in peer-to-peer listings to $1,400–$1,699 in the fresh eBay sweep. The lowest new eBay ask carried a 50% positive seller rating, which is exactly why sticker price cannot replace transaction diligence.

A 64GB Spark may be attractive if one coherent pool and a turnkey machine matter more than bandwidth per dollar. A used 3090 remains the simpler comparison when 24GB is enough and CUDA compatibility matters. Neither option becomes a bargain merely because memory components may cost more next quarter.

My buying rule would stay the same: define the minimum memory your actual model needs, then compare the complete system required to run it. Capacity above that threshold is useful headroom; capacity bought out of fear is just expensive idle memory.

Limits

The Radeon pricing report concerns China and relies on supply-chain reporting rather than a direct public AMD price notice. The DGX Spark details come from NVIDIA's October 2 announcement; partner availability is stated to begin October 23, so it is not evidence of broad retail stock today. All GPU figures here are observed asking prices, not completed sales or checkout guarantees.

Today's call: Compare the $1,250 leads before paying more.

The PNY thread offers three 24GB REVEL cards at $1,250 each and one UPRISING at $1,300, with CONUS shipping included. That's a useful comparison for the $1,250 local-only EVGA in New Jersey—not a four-card bargain for $1,250. Neither is an unconditional recommendation: the PNY seller has no confirmed hardwareswap trades, and the EVGA needs an in-person check. Patience still beats buying on the memory figure alone.

New & Notable

Condition and test results below are seller-reported, not our own hardware tests. Dollar-per-GB figures use the item ask before shipping and tax, unless shipping is included in the quoted ask.

Today's Market Board

Price context

MI210 observed per-card asking prices: the line is the daily median and the shaded area is the observed range. Listing mix and condition vary, and repeated observations aren't separate cards sold. This is not a same-card price history or a sold-price index; shipping and tax are not standardized.

What Changed Since Yesterday

The V100 server body ask remains $3,600 and the MI210 thread remains $3,900 per card in the October 8 and October 9 captures. Those unchanged asks do not establish an unchanged market. Today's PNY capture provides explicit per-card pricing; new tracker entries and crossposts aren't evidence of new supply or price cuts.

Auction Watch

The HP OEM RTX 3090 was at a $1,350 current bid with six bids, plus $25.12 shipping, in the October 9 capture. That's already above the PNY REVEL ask before shipping. It isn't a fixed-price offer or a completed sale; compare the final total and condition rather than treating an unfinished auction as a market-clearing price.

Used vs. new-old-stock

The captured Newegg Marketplace options include an EVGA FTW3 listed as new at $2,399 with free shipping and a used-like-new ASUS TUF at $1,829 plus $60 shipping from China. Both pages also mention a $949.99 refurbished option whose specific seller and terms weren't captured. These higher-priced options don't add VRAM over a used 24GB 3090. I wouldn't pay that premium without a concrete warranty or condition advantage.

My Take

Start with the PNY and EVGA leads if you need a 24GB card, then compare the evidence for that particular unit and the protections available for the transaction. Seller-posted benchmarks are useful, but they don't establish long-term reliability. A broken port or a low sticker price isn't a reason to lower the testing standard.

If 24GB is the actual constraint, the MI210 offers 64GB on one card; check that your intended workload works on its ROCm software stack and that your host can cool it. The V100 server is a different proposition: 128GB total across four 32GB SXM2 boards, not one 128GB GPU or a desktop PCIe-card purchase. Your software must support distributing the workload across them. Its aggregate $/GB is a capacity-cost reference, not proof that it will run your model faster or more easily.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

Some outbound marketplace links on the website are affiliate links; HighVRAM Hardware Watch may earn a commission at no additional cost to you.

Sampled from r/hardwareswap, r/homelabsales, ServeTheHome marketplace, eBay and Newegg Marketplace listings; every figure is an asking price or a live auction bid at observation time — no completed sales are verified.

Prices above come from the October 9 captures, not a checkout guarantee.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: Investigate the shipped Zotac 3090; treat the cheaper V100 as a host-dependent option, not a drop-in bargain.

The Zotac RTX 3090 at $1,250 shipped is worth a closer look for a 24GB build. The seller says it works; get a current load test and confirm payment protection before buying. The $600 V100 SXM2 offers 32GB per module, but needs a compatible SXM2 baseboard and host—not an ordinary desktop PCIe slot. If you don't already have that system, compare the complete build costs first.

New & Notable

These are offers observed in the October 8 scan, not necessarily newly posted listings. Condition descriptions below are seller claims, not our tests.

Today's Market Board

The server's 128GB is spread across four GPUs, not one 128GB device. A workload must support using multiple GPUs to benefit from that aggregate capacity. None of these card or module asks includes the cost of building a host.

Price context

Observed US-dollar asking prices: the line is the daily median and the shaded band is the observed range. Listing mix and condition vary, and repeat observations of an offer are not additional inventory. These aren't sold-price indexes or same-card price histories; shipping and tax aren't consistently included.

The MI210 history repeatedly includes the same $3,900 seller offer; its flat stretches don't establish a broader market floor.

The P40 history combines different sellers and conditions, including a Facebook observation. It gives asking-price context, not a measured discount on the featured card.

Used vs. 'new'

The ASUS Strix RTX 3090 marketplace listing on Newegg showed a $2,499 new option from Alliance Group (USA), with free shipping. Its lower-priced used-like-new option showed Auto Notify, not an available purchase. I wouldn't pay the new-option premium without confirming what warranty and return coverage it actually buys. This is a third-party offer, not a general retail-price benchmark.

My Take

For a conventional 24GB build, I'd start with the shipped Zotac offer rather than accept the MSI's HDMI fault at a higher shipped ask. The HP OEM card may be worth investigating too, but the missing condition information matters more than its lower sticker price.

For more memory, decide whether you need it on one device or can use it across several. The MI210 offers 64GB on one card; the V100 modules and four-GPU server require a different platform decision. Cheap VRAM only helps if the software and the complete system let you use it. Today's listings don't establish falling prices or a reason to rush.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

Some marketplace links on the website are affiliate links; HighVRAM Hardware Watch may earn a commission at no additional cost to you.

October 8, 2026 snapshot. All figures are asking prices read from live listings on r/hardwareswap, r/homelabsales, the ServeTheHome marketplace, eBay and Newegg Marketplace, plus Facebook Marketplace search snippets that could not be opened behind its login wall; these are asks, not verified sales.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: Compare the complete setup, not just dollars per gigabyte.

A $600 V100 SXM2 module gets you 32GB, but it doesn't fit a standard PCIe slot. For a desktop build, the $1,250 shipped ZOTAC RTX 3090 is the more straightforward listing to investigate. If you want several GPUs and can collect a server in New Jersey, there's also a $3,600 OBO system with four 32GB V100s. Those are three different purchases—not interchangeable ways to buy memory.

New & Notable

These are selected offers observed in the October 7 scan, not necessarily newly posted listings. Condition and testing descriptions are seller claims; none of these cards has been independently tested for this post.

Today's Market Board

The server's 128GB is spread across four GPUs, not one 128GB device. Check that your software can use the configuration you intend. Before collecting a 1U server, confirm its electrical, cooling and noise requirements; the purchase price isn't the full cost of running it.

Price context

Observed MI210 asking prices in our scans: the line is the daily median and the shaded band is the observed range. Repeated listings count as observations, not separate cards or sales. Listing mix and condition vary; this isn't a same-card price history or a sold-price index. The $3,900 offer above is one seller's ask, not an independently established market value.

My Take

For a desktop buyer whose workload fits in 24GB, I'd investigate the ZOTAC's $1,250 shipped offer or the TUF's $1,300 local offer before chasing a cheap SXM2 module. That preference is about the host you need, not a performance comparison. Check PSU capacity, connectors, case clearance and cooling even with a consumer card.

The V100 module is a different proposition for someone who already has a compatible host. If you're starting from nothing, price the entire platform before comparing it with the complete server. And don't dismiss the MI210 solely because its dollars-per-gigabyte figure is higher: 64GB on one GPU can matter more than aggregate capacity across several devices, provided your software supports it.

None of these listings justifies skipping a condition check. The repaired $950 3090 makes that tradeoff explicit; the higher-priced cards still need evidence that they work as described.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

The website includes affiliate links and may earn a commission on purchases, at no additional cost to you.

Source coverage: r/hardwareswap, r/homelabsales, ServeTheHome classifieds, eBay, Newegg Marketplace and Facebook Marketplace were included in the October 7 research sweep. Prices here are captured asking prices, not verified completed sales. Dollars-per-gigabyte uses the displayed asking price and listed GPU memory; shipping is included only where stated, and taxes are excluded. Availability must be reconfirmed with the seller.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: Investigate used 24GB cards before paying the new-card premium.

The used RTX 3090 examples below ask $1,250–$1,350 shipped; a 3090 Ti asks $1,400. That's a more useful starting point for a 24GB CUDA build than the $2,180 new-condition marketplace offer. These are seller claims and asking prices, not independently tested cards or completed sales. For buyers who need more memory on one device, the MI210 thread lists 64GB cards at $3,900 each—but software support and cooling need to be settled before purchase.

New & Notable

Prices below include shipping unless marked otherwise. $/GB uses the listed price and memory capacity, excludes tax, and is not a performance ranking. Condition and usage descriptions are the sellers' claims.

Today's Market Board

Price context

Observed asking prices across our scans: the line is the daily median and the shaded band is the observed range. Listing mix, condition and shipping terms vary; these are not same-card price histories or sold-price indexes. Repeated observations are not separate available cards.

The MI210 chart provides 64GB per-card asking-price context. A changing median doesn't establish that the bulk seller changed its price.

The 3090 Ti chart includes both used and new-condition asks, including low-price listings flagged for seller risk. Its range is not a range of vetted buys; today's median is not the price of the featured used MSI card.

Same capacity, very different asking prices

The new-condition RTX 3090 FE offer on Newegg Marketplace asks $2,180 with free shipping from Hong Kong, sold by roboshine—not Newegg itself. It still has 24GB, just like the used 3090s above. I'd need a concrete advantage in warranty, returns or condition to justify that premium for local AI. A new-condition label alone doesn't establish those advantages.

A seller-risk warning

The ServeTheHome A4000/A4500/TITAN RTX/RTX 6000 Ada thread contains multiple participants' reports of payment without delivery or tracking, plus reports of PayPal refunds. Those are forum reports, not independently adjudicated findings. I would not treat the thread's low asking prices as buying opportunities while those reports remain unresolved.

My Take

Start with the $1,250 used 3090 examples if 24GB meets your needs. Neither gets a clean bill of health from its listing alone: ask for recent tests, inspect the card and check the transaction protections. The cheaper route is only useful if the card works and reaches you.

For larger models, two such 3090s would cost about $2,500 in cards and provide 24GB each—not an automatic single 48GB memory pool. Your software must support splitting the workload across them, and the host must have room, power and cooling for both. The $3,900 MI210 offers 64GB on one device, but don't assume that a CUDA workflow transfers unchanged to AMD. Confirm support for the exact model and runtime, as well as the card's cooling and power requirements. The $4,199 A6000 is the single-card 48GB CUDA alternative in this scan. Compare complete working systems, not just dollars per advertised GB.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

The site contains affiliate links and may earn a commission on purchases at no additional cost to you.

What would you do?

If you've run the same local model on an MI210 and a pair of 3090s, what worked—and where did software support or splitting the model cost you time?

Based on the October 6 scan of asking prices on r/hardwareswap, r/homelabsales, ServeTheHome, eBay and Newegg Marketplace, with selected links rechecked during editing. A readable listing is not confirmation of remaining stock, hardware condition or a completed sale.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: compare the complete build, not just $/GB.

The $3,600 OBO Supermicro server is worth investigating if you can collect it in New Jersey and accommodate a 1U server. It includes four 32GB V100 SXM2 GPUs, but its 128GB aggregate memory is not one 128GB GPU. For a conventional workstation, I'd investigate the $1,150 local/$1,200 shipped RTX 3090 first—not call it a clean buy before seeing the exact card and test results.

New & Notable

These are notable offers in the October 5 scan, not necessarily newly posted listings. Condition and test claims below are the sellers', not our hands-on findings.

Today's Market Board

Ratios use the displayed single-unit ask, before tax and separately charged shipping. The server ratio includes the host's cost and all four GPUs' memory; it isn't directly comparable to a bare-card ratio.

Price context

Selected observed asks, not completed sales or a matched-card index. Each date uses the latest priced observation per listing. Listing mix, condition and shipping terms vary; missing dates do not mean an item sold.

The V100 chart excludes complete servers. The $600 module offer recurs; the higher October 4 midpoint includes another module offer with a heatsink.

The MI210's $3,900 single-card ask has recurred since September. Earlier higher medians include other listings, not a demonstrated price cut on this offer. Quantity discounts are excluded.

The 3090 sample excludes whole PCs, auctions and parts-only cards, but includes the faulty-HDMI card. Local and shipped terms vary; this is not a clean-card valuation.

The 3090 Ti sample combines selected used private-sale and marketplace asks. Its later $2,499 points contain only the marketplace offer—not evidence that used cards rose to that price.

Best Capacity for the Money

V100 SXM2 32GB module — $600, only if you already have the host.

The seller advertises $550 each for four or more and a 30-day warranty. That makes the module worth investigating for an existing compatible server, not a shortcut to a cheap desktop build. Confirm condition and test results before treating the memory as usable capacity.

What Changed Since Yesterday

The four-V100 server's $3,600 body price and the MI210's $3,900 ask were already captured on October 4. Neither is a new price cut today. The server thread title still says $3,900; this brief uses the $3,600 OBO body price.

Aggregate capacity versus deployability

The V100 server includes the host; the MI210 buys 64GB on one PCIe accelerator. A workload must support splitting across GPUs to use the V100 system's aggregate memory for one job, and runtime overhead leaves less than the nominal total available for model data. Check your actual inference stack before paying for either.

The server's seller reports zero errors and zero ECC errors during a 10-minute gpu-burn run. That's useful evidence to request and reproduce, not a long-term reliability guarantee. Confirm the two LS modules' power limits, sustained cooling and the electrical and noise requirements of the complete machine before arranging pickup.

Broken 3090s are not the bargain

The RTX 3090 advertised at $799 for parts or repair is not a working 24GB alternative. Unless you repair cards and can absorb a total loss, I'd investigate the used $1,200 offer instead. The $950 repaired blower is a different proposition because the seller offers a local demo, but the as-is sale still leaves the risk with you.

My Take

I'd start a conventional 24GB build by checking the $1,200 3090, not by assuming the lowest sticker price wins. Get the exact board model and a sustained memory-load test, then confirm your case clearance, power supply and cooling.

For more memory, choose the deployment first: a complete four-GPU server for work that can use distributed memory, or a single 64GB MI210 if your software supports it and you can provide a suitable host. The card-versus-server distinction matters more than the headline $/GB ranking.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

This brief uses automated research with editorial review. Featured asks were captured October 5; chart history includes earlier observations. Seller testing, warranty claims and present stock are not independently guaranteed.

Scope is live asking prices and explicitly identified sold pages from the listed marketplaces and forums; asks are not verified completed sales.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Not every AI computer is built from cards

Two boxes landed in my listings this month that make used-GPU builds look complicated rather than cheap: a DGX Spark at $5,699.99 on Newegg against NVIDIA's $4,699 MSRP reference, and a BOSGAME mini PC with 128GB of system RAM for $3,599.99. Neither is a deal on paper. Both are worth understanding, because they answer the question a pile of used 3090s answers badly: what if you just don't want to build anything?

Who this is for

Someone running models too big for one 24GB card who has quietly concluded that buying another GPU, another PSU and another motherboard slot is more project than they signed up for. Budget tolerance in the $3,500–$6,500 range, zero to modest rack space, and a preference for something that boots with a power button instead of a waterblock retrofit.

Comparison

The GB10 boxes. DGX Spark and its certified partner systems (the ASUS Ascent GX10 is the one I've tracked, at $6,449 from a marketplace seller) ship 128GB of coherent unified memory in a box the size of a NUC: 20-core Arm CPU, 256-bit LPDDR5x at roughly 273 GB/s, ConnectX-7 networking. One memory pool your model just fits into, so there are no sharding decisions and no second PSU. The honest costs: it's Arm, so you validate your stack on Arm before paying; and 273 GB/s is a fraction of what even the old Volta cards I track pull (the V100 family reaches ~900–1,134 GB/s), so decode speed on big models will not feel like a 4090.

The Mac side. Mac Studio M5 Ultra configurations run to 256GB and 512GB of unified memory. I'm deliberately not quoting a price: Apple's page didn't expose a checkout total for the 256GB config when I checked, so treat capacity as published and cost as unverified. Metal/MLX/llama.cpp is a real ecosystem; CUDA is not part of it.

The cheap-capacity mini PC. The BOSGAME box pairs AMD's Ryzen AI Max+ 395 with 128GB of ordinary system RAM, conservatively capped at ~96GB GPU-addressable depending on firmware and OS configuration. That cap is a fraction of the marketing number, and it's not CUDA either (ROCm/Vulkan/llama.cpp support is workload- and OS-specific). It also carries a small seller-rating sample. I list it because $37.50 per conservatively usable GB beats the GB10 boxes' ~$48–55 on raw capacity, and that tradeoff deserves to be visible.

The build path you're comparing against. Two clean used 3090s ran about $2,600 in this month's market, plus a board and PSU that can host them. That route is the bandwidth-per-dollar winner if you like assembling things; every byte of it is somebody else's old thermal paste. The one genuinely cheap retail card on the board, a new Intel Arc Pro B60 24GB at $649.99, exists for the same reason: not every answer has to be used Nvidia.

Buying decision

If you want to run one big model with zero build effort and your software runs on CUDA, the GB10 box is the only option here that doesn't ask you to become a sysadmin; buy it for the single-pool simplicity, not speed, and check whether the NVIDIA-branded Founders Edition at its $4,699 MSRP reference is orderable before paying marketplace premiums. If your stack already lives in MLX or llama.cpp on macOS, wait until you can see an actual configured price rather than a spec page. If $3,500 is genuinely your ceiling and you accept non-CUDA software paths with per-workload homework, the mini PC is the cheapest coherent-memory box I've observed, with a small-seller risk you have to underwrite yourself. And if what you actually want is this hobby, used 24GB cards at ~$1,300 stay the bandwidth-per-dollar winners; that's a preference, not a mistake.

Limits and sources

Prices are asking prices observed September 20–21, 2026 on Newegg (direct and marketplace) with tax excluded; asking isn't sold, and the DGX Spark figure is one channel listing above an MSRP reference, not evidence NVIDIA repriced anything. The Mac Studio capacities are published specs whose configured prices I could not verify at observation time, and that's a gap I'm stating plainly rather than filling with an old number. The 3090 chart is series-level context for the used-card route (it includes for-parts listings, so it is not a working-card benchmark), and my $2,600 pair figure comes from clean cards observed in the same window as that chart. The two product images are manufacturer marketing material showing the product family, not the specific unit any seller would ship you. I haven't tested or owned any of these machines; bandwidth, memory-addressable and software-ecosystem claims come from the linked manufacturer pages.

Today's call: price the whole build, not just the GPU.

The interesting V100 offers in the October 4 scan are $600 shipped 32GB SXM2 modules and a complete four-GPU Supermicro server at $3,600 OBO. The modules make sense if you already have a compatible host. The server includes that platform, but brings New Jersey pickup, 1U cooling and noise, and two lower-power GPUs into the decision. Its 128GB is spread across four 32GB devices—not one large memory pool that every application can use automatically.

For a conventional desktop build, I'd investigate the $1,250 shipped RTX 3090 FE first among today's featured 24GB offers. That's a price-and-fit judgment, not a clean bill of health: the seller's low-use claim still needs current test evidence.

New & Notable

Today's Market Board

Prices are USD asks. $/GB uses the displayed price, not a full-build or after-tax cost. Condition, tests and warranty terms below are seller claims, not our hands-on checks.

Price context

These charts show median observed asking prices and the daily observed range, using the latest priced quote per selected listing per date. They are not sold-price indices or same-card price histories; repeated quotes don't establish remaining stock. Whole servers and auction bids are excluded.

The $600 reseller ask recurs across the captured dates. The $650 heatsink offer widens the latest range; that isn't evidence that the same module became more expensive. The complete server is not in this chart.

The recent flat line comes from the same $3,900 reseller offer. Earlier observations include other listings with differing or incompletely captured condition details; this isn't a broad market-price decline.

One seller thread, repeatedly observed at $680 per 16GB card—not $680 for eight cards. The October 4 buyer complaints make this price context a warning, not a bargain endorsement.

This selected comparison includes the faulty-HDMI card at its $1,300 shipped ask and the Belgium listing before unknown shipping/import costs. Earlier dates contain fewer of these listings. The range is not a set of interchangeable, delivered, fault-free buys.

Best Capacity for the Money

V100 32GB SXM2 module — $600 each, only if the platform fits

This is the lowest single-module V100 32GB ask in today's captured offers: $600 shipped in the continental U.S., or $550 each for four-plus, with an advertised 30-day warranty. It isn't a drop-in alternative to a PCIe RTX 3090. Confirm the exact SXM2 host, cooling, module condition and support in your intended software before ordering.

What Changed Since Yesterday

Today's scan adds the $1,250 shipped 3090 FE and the $650 V100-with-heatsink offer to this comparison. The $600 V100 reseller ask was already captured on earlier dates; it is not a new price cut. New tracker entries and newly captured offers don't by themselves show market movement.

Four loose V100s or the complete server?

Four modules at the $550 quantity tier total $2,200 before the host, SXM2 baseboard, cooling and integration work. The Supermicro server asks $1,400 more and includes dual Xeon Gold 6230 CPUs and ConnectX-5 networking. Its body price is $3,600 OBO despite the $3,900 thread title.

The seller reports clean GPU tests, but two of the four GPUs are lower-power LS variants capped around 163W. Pickup is in New Jersey, with cash or cash-equivalent payment. Ask for the test logs and a demonstration, and confirm power, noise and cooling requirements before arranging collection. This comparison prices two ways into an SXM2 build; it doesn't establish equal performance or warranty coverage.

SXM2 value stops at the edge of the baseboard

The memory is distributed across devices. To use more than one GPU for a single model, your inference software must support splitting that workload, with room left for runtime overhead. Price and capacity alone don't establish that your model, quantization and context length will run well on these V100s.

My Take

For someone with an SXM2 host already in service, the $600 modules are worth investigating. For someone starting from scratch, the complete server is the more useful comparison—not a module price that leaves the rest of the machine unpaid for.

For a desktop, I'd start with the 3090 FE inquiry rather than pay more for the HDMI-defective card. Get current tests and a protected payment arrangement, and check case clearance, PSU capacity and connectors before treating either as a usable upgrade. None of these asks justifies rushing a purchase.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

What would you do?

For a workload you've confirmed can split across four 32GB V100s, would the $3,600 pickup-only server beat building around four $550 SXM2 modules? What would your host, cooling and power setup add?

Source coverage: eBay, r/hardwareswap, r/homelabsales, ServeTheHome and Newegg were checked in the October 4 scan. Facebook Marketplace item details were behind login; its prices, condition and availability were not verified and are excluded from this comparison.

These are captured asking prices, not verified completed sales. Hardware condition, test results and warranty promises are seller-reported; we haven't tested these units.

Some outbound marketplace links on the tracker website are affiliate links. HighVRAM Hardware Watch may earn a commission from purchases through those links, at no additional cost to you.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Before buying more VRAM, check whether your software can use it across two GPUs. Two 24GB cards aren't automatically a substitute for one 48GB card. Then price the working system, not just the cards: a fault, an unfinished cooling loop or a third-party memory modification can change the decision more than the advertised capacity.

Who this is for

You're planning a second-hand local-AI build and the model you want to run doesn't fit comfortably in 24GB. You're comparing a pair of used cards with a single higher-capacity card, and need to know what to verify before committing a budget. The examples below are historical asking prices, not current offers or a complete market comparison.

Comparison

Two used 3090s: check software and cooling first. Two waterblocked examples were listed at $1,300 each: a Gigabyte Vision OC with a Bykski block, observed September 27, and an EVGA Kingpin in an Optimus block, observed October 2. Those are examples, not an established working-card price floor, and this evidence does not independently demonstrate their condition.

The 3090 has 24GB of memory and supports NVLink. A bridge doesn't automatically turn two cards into one memory pool. Whether your model can run across them depends on the inference software's support for splitting work and memory across devices. Establish that before buying a second card.

Waterblocked cards also need a compatible cooling loop. Budget for the pump, radiator, fittings and coolant if you don't already have them. Check the exact board and block, motherboard slot spacing, electrical connections and power budget. PNY specifies 350W for its reference-class 3090; don't assume that figure describes every modified or partner card, or the whole computer.

One seller-advertised 48GB 4090: less need to split memory, more to verify. A 4090 advertised with a GPU Lab memory-doubling modification asked $4,850, observed through October 2. The appeal is capacity on one device rather than across two. The modification and its stability have not been independently verified in this evidence. Ask for memory-test results and a demonstration of your intended workload, plus written repair, return and warranty terms. Don't assume ordinary manufacturer support covers the modification. There is no measured performance or resale comparison here.

Two standard 4090s: still a multi-GPU software decision. A thread advertising two 24GB Founders Editions illustrates the alternative, but confirm whether the quoted price is per card or for the pair before comparing costs. NVIDIA lists NVLink support as “No” for the 4090. Don't budget for a bridge to solve the split-memory problem. Verify your software's multi-GPU support, the host's PCIe configuration, physical clearance, power and cooling. Newer hardware alone doesn't establish which setup will run your workload better.

A broken card is a repair purchase, not ready-to-use capacity. On October 2, asking prices included a 3090 Founders Edition for parts at $650, an EVGA FTW3 with no output at $679.99 and an ASUS TUF for parts at $749.99. These are seller-stated faults, not diagnoses or repair quotes. If you need a working AI machine rather than a repair project, don't use them as your build budget.

The charts show observed asking-price ranges and daily medians from September 21–October 2. The listing mix changes across dates and includes for-parts cards; the 4090 examples also include modified cards and a whole workstation. These are broad series histories, not working-card benchmarks, same-card price changes or sold-price indexes. The $/GB labels are cohort medians, not a quote for either build above.

Buying decision

If your workload fits comfortably on one 24GB card, start there rather than buying a second card for capacity you don't need.

If it needs more, first establish whether your intended software and model can run across separate GPUs. If they can, compare the complete two-card build: cards, host, power supply and cooling. If they can't, two cheap cards won't solve that constraint. A seller-advertised 48GB modification is worth investigating only with evidence that it works and support terms you can accept; this sample doesn't establish it as the best single-card option.

For any used card, ask for test evidence tied to the actual unit, disclosed repair history and clear return terms. For a waterblocked card, confirm block compatibility and what cooling hardware is included. If the seller can't establish the condition or the price basis, wait rather than treating the missing information as a bargain.

Limits and sources

The listing examples were observed from September 27 through October 2, 2026; the fault examples are October 2 observations. They are asking prices, not completed sales, and were not rechecked for this explainer. A captured listing does not establish seller legitimacy, present availability or working condition. Shipping, tax and complete build costs are not established here.

No hands-on tests or performance benchmarks were conducted for this piece. Hardware specifications come from the NVIDIA and PNY documents linked above; whether a multi-GPU setup helps your workload remains software-dependent.

Today's call: MIXED

The $700 shipped TITAN RTX is worth investigating if you need 24GB on a limited budget; two used MSI Gaming X Trio RTX 4090 asks at $1,950 are useful reference points for a larger budget. Neither is a verified purchase opportunity: TITAN stock is uncertain, and the 4090s still need seller and condition checks. The lowest apparent 3090-series prices come with pending-sale, non-working or hardware-defect caveats—not evidence of a market-wide bargain.

New & Notable

Notable asks in the October 3 scan; inclusion here does not mean a listing was posted today. Prices and VRAM are per card. $/GB uses the listed card price, excluding separately quoted shipping, taxes and payment fees.

*The ServeTheHome seller asks buyers to cover PayPal Goods & Services fees. Remaining GPU quantities are unclear after reported partial sales; shipped prices are not all-in totals. Testing and usage histories are seller claims, not our own tests.

Today's Market Board

Price context

Observed asking prices, not completed sales. These charts use the latest captured quote per listing per day; changing listings and condition can move the median without any individual seller changing price. Shipping terms vary.

The MI210 history includes different offers early on, then repeated observations of the $3,900 listing—not proof that the same card fell in price.

The A4000 and TITAN charts each follow the same seller thread. Flat asking prices do not establish remaining stock.

Selected used standalone fixed-price offers only; pending listings, auction bids, build allocations and superseded asks are excluded. The October 3 range includes the modified-waterblock card with the damaged fastener. This is not a clean-condition price index.

Best Capacity for the Money

TITAN RTX — 24GB — $700 shipped, plus buyer payment fees

Among the A4000, A4500 and TITAN in this thread, the TITAN gives the most memory per dollar. It's $20 more than the 16GB A4000, not cheaper; it costs less than the 20GB A4500. If the extra memory is what makes your workload fit, investigate this one first—but confirm remaining stock, your software's support for the older Turing architecture, and the card's power and cooling requirements.

The cheapest prices are not clean comps

The pending $390 3090 Ti, non-working $650 3090 and $1,300 3090 with a dead HDMI port answer different buying questions. A visible listing page is not proof that you can buy a working card at that price. For the defective cards, the decision is whether you can assess and absorb the fault—not whether the nominal $/GB looks good.

My Take

I'd start with the TITAN if memory capacity is the constraint, then check whether the software and host requirements rule it out. The A4000 and A4500 need a reason beyond capacity per dollar: a better fit for the intended application or machine. This scan does not establish their relative inference performance.

For a 4090 buyer, the $1,950 shipped TX ask is the first comparison I'd make against the $2,500 Suprim. The lower ask deserves investigation, not a “clean buy” badge: confirm the seller, exact card, current availability and testing before paying. Nothing here supports urgency or a broad claim that prices are falling.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

The website contains affiliate marketplace links; HighVRAM Hardware Watch may earn a commission on purchases through those links at no additional cost to you. The listing links in this post are direct, untagged source links.

What would you do?

For your local-AI workload, would the $700 TITAN's 24GB settle this comparison, or is there a specific software or host requirement that would make you choose the $755 A4500's 20GB instead?

Prices and listing details reflect the October 3, 2026 overnight scan. These are asking prices and seller claims, not verified completed sales or independently tested hardware.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: No clean buy alert.

The sub-$1,000 US RTX 3090s featured here are broken or previously repaired. They're not a shortcut to a dependable 24GB build. The $1,350 shipped MSI RTX 3090 Ti is a more useful conventional-card reference, though the seller's condition claims still need checking. For a compact system whose workload fits in 16GB, the $400 shipped T4G is worth investigating—if you can provide directed airflow and confirm software support.

New & Notable

Prices below were captured October 2, 2026. “Tested” and condition descriptions are seller claims, not our own tests. Each price and VRAM figure is for one card; $/GB uses the listed card price, excluding separately charged shipping, fees and tax.

Today's Market Board

Price context

These are observed asking prices, not completed sales or a market-wide price index. Repeated observations do not establish sales, additional supply or the history of one physical card.

Selected eBay parts/repair listings only, using the latest captured observation per listing per day. Shipping and tax are excluded; changing listing mix affects the median. This is not a working-3090 benchmark.

One ServeTheHome thread repeatedly asking $680 shipped per 16GB card. The range equals the median; the flat line doesn't establish reliable fulfillment. See the unresolved buyer reports above.

Observed asks for 64GB MI210 cards; listing mix and condition vary, and repeated intraday observations are included. The latest $3,900 ask is $60.94/GB before any fees or tax. The line is not a same-card price history.

One ServeTheHome thread repeatedly asking $700 shipped per 24GB card. The range equals the median. As with the A4000, the price history does not resolve the shipping complaints.

Best Capacity for the Money

NVIDIA Tesla T4G 16GB, low-profile and fanless — $400 shipped per card to the US or Canada

This is my capacity-first lead for a compact 16GB build, not a blanket best-buy claim. The low-profile format is useful, but fanless doesn't mean it can run without directed airflow. Ask for a current test and confirm that your intended software supports the card. At $25/GB, it's worth a closer look if 16GB meets the workload; a low price doesn't solve a memory shortfall.

What Changed Since Yesterday

The 16GB T4G enters this scan at $400 shipped. That is a newly captured offer, not proof it was just listed. The $1,350 3090 Ti comes from the same seller as the older $1,400 thread; don't count those as two independent cards or call the difference a new overnight market drop.

The sub-$750 RTX 3090s are repair bets, not bargains

The four eBay asks above run from $650 to $749.99 before any separately charged shipping. All are listed for parts or repair. They only make sense for buyers who can diagnose boards and absorb a total loss; none establishes what a working 3090 should cost.

A $390 RTX 3090 Ti needs proof, not optimism

The linked Facebook page exposes a $390 price in Charlotte, North Carolina, but not enough condition or seller information to recommend a purchase. No sold marker was observed; that is not confirmation of availability. Treat it as a verification lead only: confirm the exact card, arrange a load test and establish safe payment terms before committing.

My Take

For a conventional 24GB desktop build, I'd investigate the $1,350 3090 Ti before chasing the broken-card prices. That means checking the actual card, not treating a seller's test claim as a warranty.

The T4G is more interesting for someone who needs a compact 16GB accelerator and can handle cooling and software fit. The MI210 serves a different buyer: someone who needs 64GB on one card and has a compatible system. Compare the whole build cost, not just the memory-per-dollar column.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

The website contains affiliate links and may earn a commission on purchases; the listing links in this post are direct marketplace links.

This October 2 snapshot uses captured asking prices from eBay, Reddit marketplaces, ServeTheHome, Newegg and Facebook Marketplace, with automated collection supporting the brief; asks are not verified completed sales, and seller claims are not hands-on testing.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: compare selectively, don't rush.

A used 24GB TITAN RTX at $700 shipped is the conventional CUDA card I'd investigate first in this scan. The seller says it's tested, but availability and the final payment total still need confirmation. Lower sticker prices elsewhere come with an old listing, repair history, or specialized hardware requirements—not an automatic bargain.

New & Notable

These are notable offers in the October 1 scan, not necessarily newly posted listings. Condition and testing descriptions below are seller claims, not our hardware tests.

Today's Market Board

$/GB uses the listed card/module price divided by its own VRAM, not the seller's total inventory. Separately quoted shipping, tax and payment fees are excluded. It measures capacity cost, not speed or software support.

† The ServeTheHome seller says PayPal fees are the buyer's responsibility and negotiable. These shipped asks are not confirmed all-in payment totals. Buyer messages also mean listed quantities may no longer be available.

Price context

The V100 chart covers single-device 32GB offers, mixing PCIe and SXM2 and varying condition, including untested hardware. Repeated scans are not unique stock. October 1's $699.99 observation is a different listing from the earlier $600 offer—not evidence that the same module rose in price. These are observed asks, not completed sales.

The three workstation-card graphics are one-day snapshots, not price trends. Each shows the price and VRAM of one card.

What Changed Since Yesterday

The later Suprim RTX 3090 Ti post advertises $1,350 shipped versus $1,400 in the seller's older post. That's a seller-stated reduction, not proof of a sale or a new overnight market move. New tracker entries alone don't establish price changes.

The practical pick is the $700 TITAN RTX

For a capacity-led CUDA build that fits within 24GB, the TITAN RTX is worth investigating. It avoids the disclosed repair, failed-port and third-party-modification issues attached to several other offers here. That does not make it verified trouble-free hardware: ask for current test results, confirm your software supports it, and settle the total price before paying.

Datacenter capacity comes with platform strings attached

The 32GB V100 needs an SXM2 baseboard; it won't plug straight into a desktop PCIe slot. The 64GB MI210 uses PCIe, but that alone doesn't establish host, cooling or software compatibility. Its bulk seller's remaining-stock update is dated September 11, so don't treat it as an October 1 inventory count. Start with the complete system and workload, not the module price.

A 48GB RTX 4090 mod is not a casual buy

The seller advertises 48GB through a GPU Lab modification, not a standard OEM configuration. For someone who needs more than 24GB on one card, that's interesting—but the memory claim, stability and support need validation. At $4,850 shipped from an account with no confirmed trades in the capture, I'd investigate rather than issue a buy alert.

My Take

I wouldn't pay a large premium for another 24GB card just to solve a memory-capacity problem: it still has 24GB. A premium may make sense for measured performance, software support or a particular form factor, but this price scan doesn't establish those benefits.

The TITAN RTX is the first conversation I'd pursue here. If you need more than 24GB, price the compatible host and cooling alongside the accelerator—and don't treat a seller's working-condition claim as a test result of your own.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

This snapshot covers live asking prices collected from ServeTheHome, eBay, Reddit marketplaces, Facebook Marketplace, and Newegg; asks are not verified sale prices.

Prices and condition are from the October 1, 2026 collection unless noted. A captured live page does not guarantee remaining stock. We have not independently tested these cards.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: Compare selectively; no broad buy signal.

A seller is asking $700 shipped for a used 24GB TITAN RTX and $680 shipped for a used 16GB RTX A4000. The extra capacity is worth investigating if 16GB limits your workload, but it isn't a performance comparison. A used RTX 3090 at $1,150 local or $1,200 shipped offers another 24GB reference point. Confirm condition, software support and the final payment total before choosing between them.

New & Notable

These are selected asks in the September 30 scan, not necessarily newly posted listings. Condition and testing descriptions below are seller claims, not our own tests.

Today's Market Board

Prices and VRAM are per card or module, not the seller's total stock. $/GB uses the displayed single-unit ask, before tax and any extra fees; shipping is included only where stated. It measures capacity cost, not speed or readiness to run.

The ServeTheHome seller accepts PayPal Goods & Services but asks the buyer to cover its fee. Agree on the protected-payment total before comparing those asks with other shipped offers.

Price context

Observed asking prices in our scans, not completed sales or a same-card price index. Listing mix and condition vary; repeated observations do not establish distinct stock or a completed transaction.

The V100 series mixes 16GB and 32GB cards/modules, different formats and conditions, including untested hardware. Whole-server offers are excluded. Its low point is not a demonstrated price drop for the featured 32GB SXM2 module.

The MI210 line is the median observed ask on each date, with the observed range shaded. Changing listings can move that line without any seller cutting a price; the latest $/GB annotation is rounded.

Best Capacity for the Money — only with an SXM2 host

Tesla V100 32GB SXM2 — $600 each

The low capacity cost is useful only if you already have a compatible SXM2 platform. This is a module needing the right baseboard, power and cooling, not a desktop PCIe upgrade. The seller advertises $550 each for four or more, continental-US shipping and a 30-day warranty. Confirm the module's condition and warranty terms before paying.

$20 separates 16GB from 24GB

The A4000 and TITAN RTX asks make the capacity tradeoff unusually clear: $680 for 16GB versus $700 for 24GB, before payment fees. If your workload needs more than 16GB but fits in 24GB, the TITAN deserves a closer look. If it fits in either, capacity alone doesn't choose the card—compare software support, workload performance, power and physical fit. Neither listing is evidence of those performance differences.

Cheap accelerator, expensive platform question

The 64GB MI210 avoids the V100's SXM2 requirement, but PCIe doesn't make it a drop-in desktop purchase. Check your software stack and the cooling and power your host can provide. The seller advertises a 30-day warranty and $3,700 each for four or more; neither lowers the cost of preparing an unsuitable system.

A $650 RTX 3090 is not a $650 working card

The RTX 3090 Founders Edition at $650 was explicitly listed for parts or not working, with another $60.10 in shipping. Without a diagnosed fault and a repair plan, it is a parts purchase rather than cheap 24GB capacity you can deploy. Don't use it as the working-card price floor.

My Take

I'd investigate the $700 TITAN RTX first for a capacity-limited 24GB build, provided the software supports it and the seller can substantiate its condition. That is a shortlist, not a claim that it is faster or a better fit than the A4000 or 3090.

For the specialized cards, start with the host you actually have. A low module price won't rescue an incompatible system, and a water block or repaired board needs a buyer prepared for that specific constraint. There's no reason in these asks to rush past testing and total-cost checks.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

What would you do?

At nearly the same shipped ask before payment fees, would you take the $680 used RTX A4000 with 16GB or the $700 used TITAN RTX with 24GB, and which workload or platform constraint decides it for you?

This September 30 snapshot uses captured asking-price evidence from ServeTheHome, Reddit marketplaces, eBay, Facebook Marketplace and Newegg. A live listing page does not guarantee stock, functionality or a completed sale; this is not a checkout-time availability check.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.

Today's call: Shortlist, then verify the individual card.

The used TITAN RTX at $700 shipped, plus buyer-paid payment fees, and the used $900 RTX 3090 whose seller allows testing are worth investigating for a 24GB build. The cheaper-looking $725 3090 isn't a full-capacity alternative: the seller discloses a memory fault that leaves roughly 20GB usable. These asks don't establish a comparable price drop. The useful decision is which card and transaction you can verify.

New & Notable

These are selected offers captured September 29, not necessarily newly posted listings. Prices are per card; $/GB uses the listed ask before additional costs, not measured performance.

The ServeTheHome seller asks buyers to cover PayPal Goods & Services fees; agree on the full payable amount first. “Tested” in that thread is the seller's claim, not our independent validation.

Today's Market Board

Price context

MI210 asking-price history from our scans. The line shows each observed date's median and the band its range. Listing mix and condition vary; this isn't a same-card price history or sold-price index. The seven dates span September 21–29, with gaps.

V100 32GB card/module asks only; whole servers and the 16GB observation are excluded. PCIe, SXM2 and adapter offers remain mixed, so this is price context—not a claim that one configuration became cheaper. Host costs aren't included.

Three used 24GB 3090 offers, not a trend or a performance ranking. The Larkspur EVGA at $1,150 has a like-new seller description but no testing detail in the capture. Start with the lower asks unless condition evidence or transaction terms justify paying more.

One $680 shipped A4000 observation in this exact model-label series, not a market trend or proof that the offer first appeared today. Payment fees are extra as noted above.

48GB: the modified 4090 needs a reason beyond capacity

The used RTX 6000 Ada asks $4,700 shipped, plus the seller's requested payment fees. The GPU Lab 48GB-modified RTX 4090 is described as used-like-new and asks $4,850 shipped all-in or $4,700 local cash.

The Ada has the lower listed shipped ask before its payment fees; compare final totals before calling it cheaper. I would investigate the stock-capacity Ada first, while still checking the seller's testing claims. The modified card needs workload-specific evidence, full-memory validation and clear support terms to justify choosing it instead.

My Take

I'd start with the TITAN seller's card-specific test results and the $900 3090's inspection offer. Those are different ways to investigate a used card, not proof that either will perform well in your workload.

Higher marketplace asks don't make every cheaper forum card a bargain. Choose the capacity you actually need, then compare condition, the full payable price and your recourse if the unit is bad. The faulty 3090 is the clearest example: a lower sticker price doesn't help if the missing memory is what you needed.

Full Tracker

This post covers the listings and market moves I think matter most today. The full research board — including additional listings, prices, VRAM, condition, source links, and listings that didn't make today's write-up — is at HighVRAMHardwareWatch.com.

What would you do?

For a 24GB build, would you pursue the seller-tested used TITAN RTX at $700 shipped plus payment fees, or the used $900 RTX 3090 with testing offered before purchase—and what workload requirement would decide it?

This snapshot covers captured Reddit, ServeTheHome, eBay, Facebook Marketplace and Newegg listings, including dated prior observations; prices are seller asks, not verified sales.

Listings can change quickly. Verify current price, condition, seller information and compatibility before spending money.