vllm-xeon-cpu

vllm-xeon-cpu is an MLOps & model serving skill for AI agents, published by intel in the optimization-zone repository on GitHub. Skillspace rates vllm-xeon-cpu C (73/100) and it passed the safety scan; the rating is based on static analysis only.

Deploy, tune, validate, and benchmark vLLM on Intel Xeon CPUs (CPU-only inference, no GPU). USE FOR: serving and performance optimizing LLMs on Intel Xeon, vLLM CPU install, CPU inference tuning, AMX bfloat16 setup, NUMA pinning, VLLM_CPU_KVCACHE_SPACE, VLLM_CPU_OMP_THREADS_BIND, --dtype=bfloat16, vllm/vllm-openai-cpu Docker image, hardware validation for AMX (amx_tile, amx_bf16, amx_int8), KV cache sizing per NUMA node, --max-num-batched-tokens / --max-num-seqs tuning, vllm bench serve on CPU, TTFT/TPOT measurement. DO NOT USE FOR: GPU vLLM (use upstream vLLM docs), training, quantization tuning beyond INT8/AWQ pointers, model architecture selection (use Intel Xeon AI Performance Advisor), non-Xeon CPUs, vLLM source build deep-dives.

Grade

C

Quality

73 / 100

Safety

Passed

GitHub stars

104

Unproven: rated by static analysis only, not yet compared head-to-head.

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