~/talk

Optimizing vLLM for Intel CPUs and XPUs

Talkat Ray Summit 2024 · 2024-09-30..10-02· [machine-learning, web-performance]
name:Ding Ke
links:none on file
name:Yuan Zhou
links:none on file
slides:none on file

vLLM is integrated with Intel’s IPEX backend to run on Xeon CPUs and Intel GPUs/XPUs with zero code change for users; integration is op-level (KV cache, continuous batching, attention kernels) and pending mainline PR. Measured wins include AMX 15.11x vs AVX‑512 on matrix kernels, Xeon 6 showing ~1.9x gen‑over‑gen throughput and up to 5.5x AI inference TCO vs competitors, Llama 3 8B sees ~2x throughput on Granite Rapid, and W8A8 ~30% throughput gain over BF16.

AI-written summary · about

  1. 0:00Intel hardware introduction
  2. 2:37SYCL and oneAPI ecosystem
  3. 9:04IPEX and PyTorch integration
  4. 13:40vLLM integration strategy
  5. 16:14Performance and benchmarking
  6. 28:42Q&A session
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