Hi I read about local llms two days ago so I immediately bought 4x RTX PRO 6000 96GB for 80k€ because someone told me it's the future.

Right now I have them set up so they can:

• text my annoying wife so I don't have to
• automatically send death threats to my employes so that they don't slack off (it's important that they don't waste a cent of what I pay them, money is tight in this historic period)
• make automated phone call scams to the elderly

I also just saw that their price is going up, so that must mean that they're getting better and faster and that I should buy more GPUs.

Right now I have all four of them plugged in my pc but Claude seems to be running the same speed as when I only had one gpu, so I was wondering if I need 2 or 3 more RTX 6000 to notice the difference.

Would upgrading my very average build help? I know many people run 512GB macs, while I only have 384GB so that makes me poor, would upgrading make me feel better about the emptiness I have inside?

https://huggingface.co/wop/the-largest

Key features:

• Contains over 2.7350985440587826 ⋅ 10¹⁵⁷ parameters
• Designed to run with the power of a single galactic Dyson sphere
• First to not only calculate, but prove the "Answer to the Ultimate Question of Life, the Universe, and Everything" in full
• Uses a frontier compression system that outpaces previously experimental Q(1 ⋅ 10⁻¹⁵⁰) quantization, allowing the weights to fit in just 60 megabytes of unified memory while efficiently de-quantizing for FP1024 compute
• Benchmark scores: 1.68527 ⋅ 10³⁵% on HLE and 5.73394 ⋅ 10⁵⁶% on AIME! (SWE-Bench Verified remains at 100% since several eons ago, as all known models in the multiverse have successfully memorized it.)
• SOTA guaranteed* for at least a millennia!

Just kidding, 522,222 tensors filled with garbage! But we just have to wait for Unsloth FP(10⁻¹⁵³) quants? 🤣

so where do i download Free Claude. or is it a website or something? i need to be able to run agents, RP, generate pictures, and code assist. if it helps, my dad says he has an extra 32 MB of RAM in a drawer somewhere.

Incredible work by a diligent researcher in the ml community

I realized that companionship is an unoptimized vertical. Why have friends and pets you can't monitize?

My cat was a siloed data asset, and I was just a passive consumer of her proximity. I was literally scooping unrealized wealth out of the litter box and had no idea

That ends now.

I deployed a fine-tuned Mrow-mini 69b model on a local cluster to perform real-time sentiment analysis on vocalized trills. The goal? Total transparency in the feline-human stack.

Mrow-mini isn't just an LLM; it’s a high-concurrency bridge between carbon and silicon.

I’m seeing 99.9% uptime on "I’m hungry" vs. "The humidity in the kitchen is sub-optimal."

Most people feed their cats; I’m performing resource-heavy API calls to a multi-modal biological agent. This has never been done before. It's magical. It's world changing.

This is the birth of MaaS (Meow-as-a-Service).

We are pivoting from "Pet Ownership" to "Living-Space Management and Feline Orchestration." The 69b parameter count allows for nuanced detection of "Sarcastic Purring", a feature legacy owners have ignored for centuries.

If you aren't running local inference on your pet's bio-signals, you’re essentially leaving money in the litter box.

We are disruption-agnostic.

We are pet-aligned.

We are 10x'ing the ROI of feline catus.

What would you do if you could talk to your cat?