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Ant Group and vLLM Claim 43% Throughput Gain from Humming Kernels on H20

Oct 22, 2026
vllm.ai
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Summary

Ant Group and the vLLM community open-source Humming, a kernel library for quantized inference that supports NVIDIA GPUs from Turing onward and T-Head's Zhenwu 810E. Kernels compile just in time from shared CUDA components. The groups claim switching DeepSeek-V4.1-Flash MoE execution to Humming's W4A8 path on eight H20 GPUs raises throughput 14% to 43%.

Key Points

  • Ant Group and the vLLM community report mean time to first token falls about 25% to 32% on eight H20 GPUs.
  • The groups measure compiling one W4A16 kernel on an H200 with CUDA 13.4 at 1.82 seconds versus 23.35 seconds for CUTLASS NVCC.
  • Humming ships as a CUDA dependency starting with vLLM 0.29.0, with a wheel of about 500 KB.

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