vLLM 0.28.0 Perf: Kimi-K3 Optimizations & Hardware Adaptation
vllm_project · x · 2026-08-27
vLLM v0.28.0 is released with significant performance improvements and hardware adaptations:
- Kimi-K3: Adaptive speculative token budget improves E2E TTFT by 5565%; optional shared-expert sharding saves 17 GiB per GPU.
- Sequence Parallelism: Combined all-gathers offer 1.53x speedup at the kernel level.
- NVIDIA: FlashInfer XQA decode on SM12x; native DSA path for MTP=3 on SM90.
- AMD ROCm: Supports torch 2.12 / triton 3.7, plus a fused Kimi-K3 KDA decode kernel.
- Intel XPU: Added a torch linear backend with blockwise GEMM; XPU wheel in release pipeline.
- CPU: Added MLA backend to run DeepSeek-V2/V3 on CPU.
Related event: vLLM v0.28.0 Ships with 584 Commits from 270 Contributors(3 posts)→
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