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NVIDIA reaches 423 tok/s per user on Kimi K3 via vLLM kernels

AINVIDIA CentML's Benjamin wrote decode-specialized kernels in Cute DSL for an upstream vLLM optimization, reaching 423 tok/s per user on the 2.8T-parameter Kimi K3 model. The post says the change delivers a 1.68x speedup on the same hardware through a 12,000-line megakernel built by aggressive fusion.
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BREAKING NEWS🚨: NVIDIA has just achieved 423 tok/s/user 🚀 on the 2.8T Parameter Kimi K3 model via a new upstream vLLM optimization. 1.68x Faster on the Same Hardware!

This was done by NVIDIA CentML's Benjamin, who wrote NVIDIA's new decode-specialized kernels in Cute DSL via aggressive Megakernel fusion. This is a 12,000 LoC Megakernel and is the future of advanced AI-assisted kernel generation. NVIDIA is already working on DeepSeekv4.1 and other models for vLLM too.

Someone should give this NVIDIA 10x engineer a raise for this great new major feature!

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Original title: BREAKING NEWS🚨: NVIDIA has just achieved 423 tok/s/user 🚀 on the 2.8T Parameter Kimi K3 model via a new upstream vLLM optimization. 1.6...