Cohere's megakernel serving engine hits 1.58x vLLM on a single H100
cohere · x · 2026-09-09
- Cohere announced its North Mini Code Megakernel serving engine with a blog post explaining what a megakernel is and how the system was built.
- Reported results: with North Mini Code (BF16 on a single H100), the engine achieves 1.58x vs vLLM at batch size 1, and 1.25x–1.41x end-to-end serving throughput at BS=8.
- The work targets inference-stack optimization for agentic coding model deployment.
Related event: Cohere open-sources Megakernel inference engine, 1.58x faster than vLLM(2 posts)→
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