vLLM Optimizes Kimi K3 Inference with Up to 2.8x Throughput Gain
The vLLM team, together with Red Hat, NVIDIA, Huawei and Inferact, detailed server-side optimizations for Kimi K3 inference, achieving 2.2-2.8x throughput gains and over 56% lower latency versus v0.27.1 on B300 nodes.
2026-09-17 ~ 2026-09-18 · 2 related posts
- vLLM boosts Kimi K3 serving throughput 2.2-2.8x with scheduler, KDA and MoE kernel optimizations — vllm_project · 2026-09-17
1 near-duplicate retellings: woosuk_k