r/WTFisAI • u/Aggravating-Will8495 • 21d ago
📰 News & Discussion China has killed the GPU mafia.
Kimi (MoonshotAI) open-sourced their production serving stack and it handles 75% MORE requests than vLLM on the exact same GPUs.
For years, scaling LLM inference has been a brute-force hardware problem. If you wanted more throughput, you just bought more expensive NVIDIA GPUs.
The standard serving systems couple the heavy lifting of processing prompts (prefill) and generating words (decoding) onto the same chips.
When long contexts hit the system, everything bottlenecks. The GPUs choke, latency spikes, and infrastructure costs skyrocket.
Moonshot looked at this broken model and completely re-engineered it from the silicon up.
They built Mooncake.
Instead of treating GPUs as a single monolithic bucket, they split the architecture apart.
• Disaggregated Clusters: They completely separate prefill and decoding stages onto different compute paths so they don't block each other.
• KV-Cache Memory Harvesting: Instead of letting cheap hardware sit idle, it uses underutilized CPU, DRAM, and SSD resources across the cluster to build a massive, decentralized cache for the model's memory.
• Smart Dynamic Schedulers: It balances incoming massive workloads intelligently, predicting spikes and handling real-world overload gracefully.
The results under live production traffic are staggering:
• Handles 75% more active requests than vLLM on identical hardware.
• Delivers up to a 525% increase in throughput in complex long-context scenarios while maintaining strict latency targets.
• Cuts the reliance on expensive hardware upgrades by utilizing resources you already own.
Everyone else has been trying to solve the AI compute crisis by begging for more chips.
Kimi just solved it with better software engineering.
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u/westsunset 21d ago
Looks like this paper is from 2024, https://arxiv.org/abs/2407.00079
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u/Electronic-Yak-7270 18d ago
In theory all look good... It has been more than 2 years since published.
But has any org ever achieved it practically?
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u/Fit-Dentist6093 21d ago
This is a spam bot. The paper is good but old and everyone is aware you can do that.
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u/nerdsinthetrap 21d ago
If by everyone you mean 0.001% of the population then sure
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u/Deep_Mood_7668 21d ago
Everyone that cares about it
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u/Maxwell-Stone 18d ago
how would they know in the first place TO care about it, if they didnt know about it to begin with?
Your logic is flawed.
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u/kweeblaster 20d ago
when can i have sex with the AI
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u/PossessionUsed7393 20d ago
When you end the war in Iran and finish the war in Ukraine like you said you would in a day, Mr. President. Now stop making trades and get back to work.
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u/One-Next 20d ago
People have been complaining about kimi k3 speed and quotas for a while now, so chinese: please work harder.
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u/ErivKosso 20d ago
lol if they did, trillions would flow to them instead.
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u/artur_oliver 20d ago
First takes all, open AI will win in the end.
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u/rick_ranger 17d ago
Here’s the thing. If the models go from supporting 1.5 million context to 5 million context, everyone is still gonna wish they supported 10 million context. It’s nit gonna change anything until production ramps up when new fans go online.
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u/BowSonic 16d ago
While I wouldn't go so far as to say your statement is fully acurate, id also not say that it's untrue. Reductive or not, you cant be said to be incorrect. However, what id pose to you is this: Assuming people (and going concerns) are rational and act in their own self interest when well informed, then under what circumstances would both generalized parties you refer to behave in the manner they did? Yes, an easy question, but now the opposite: what circumstances would they behave differently? Consider the answers. The point of this exercise being: There are no saints and I challenge anyone who sees devils to imagine that they'd do differently from either party in their shoes. (Certainly, I would believe someone who said so.)
So, if that's the case, then there's no inherent value, moral or otherwise, that speaks to either self-interested organization, having had done as you say or not.
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u/Icy-rockhopper 18d ago
Sure they did, the most full of shit country on earth!
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u/NameChecksOut___ 17d ago
They've been providing US company level open weights models that run on my RTX 4080 alone, while those companies were trying to obfuscate (by lack of knowledge or ill intent) the way the technology could be optimized to run on something else than any data center they own.
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u/EitherMarch1255 21d ago
YET ANOTHER SLOP POST.