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Bi-weekly Journal: Contributions to vLLM

My bi-weekly journal for contributions to vllm.


B200 Performance Optimization:

  • Per-token-group quant CUDA kernel
    #2147615× faster than the original Triton kernel (int8).
    #21867 — using __nv_fp8_e4m3, 10% faster for FP8.
    Works on all NVIDIA architectures, not only B200.
  • NVFP4 optimization
    Bug fix for Compressed Tensor NVFP4: #21465
    Add FlashInfer MoE support for Compressed Tensor NVFP4: #21639 — ~15% E2E throughput.
  • Other perf wins
    Non-contiguous support for FP8 quantization: #21961 — ~1% E2E throughput.
    Optimize reshape_and_cache_flash CUDA kernel: #2203620–40% faster.

B200 New DeepGemm Integration:

DBO Support:

  • WIP: Collaborated with Sage and Lucas — exciting new scope.

Other Contributions:


B200 Performance Optimization:

  • Per-token-group quant CUDA kernel for FP8:
    #21083 — ~6% E2E improvement; works on all NVIDIA architectures.
  • WIP at the time: per-token-group quant CUDA kernel for int8 (later landed as #21476).
  • NVFP4 optimization:
    Bug fix for Compressed Tensor NVFP4 (ready to review then): #21465

B200 New DeepGemm Integration:

  • Merged support for breaking DeepGEMM update on B200: #20087
    Upstream DeepGEMM PR: deepseek-ai/DeepGEMM #112
  • Follow-up optimizations (all merged):
    DeepEP low-latency bugfix: #20833
    ~15% E2E perf improvement: #20841
    Breaking change fix: #21187
    CUDA init error fix due to DeepGemm: #21312

CI Bug Fixes:

Other Contributions:

  • Code-refactoring PRs merged: #20770, #20774, and others
  • Reviewed 10+ PRs.

B200 Performance Optimization:

  • Quant vectorization utils optimization: #20331
    +3% E2E for CUDA quant kernels; reusable for FP8 quant, reshape_and_cache_flash, etc.

B200 New DeepGemm Integration:

B200 DeepEP & PPLX Validation:

  • Bug fix: #20094 — validation done.

Severe CI Bug — Fixed:

  • Issue raised (blocker in main for ~1 month): #20138
    Fix in two days: #20204

Other Contributions:


B200 Performance Optimization:

  • align_moe_block_size kernel optimization: #19572 — ~6% E2E throughput.
  • Benchmark script refactor for GEMM: #19627 — made future quant benchmarking easier.

B200 DeepGemm Integration:

B200 DeepEP Integration:

  • Env setup & initial exploration.

Other Contributions:

  • Helped review several PRs.

B200 Performance Optimization:

  • Int8 quant kernel optimization: #19233 — ~10% E2E throughput on B200.
    Thanks to Michael Goin’s guidance!
    My first vLLM PR!

Other Contributions:

  • Raised issues and reviewed several PRs.