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AI CURATED HOT STORY · 10/16/2026

vLLM Uses AI Agents to Optimize Kimi K3 Inference on GB300

1 reports archived1 independent sourcesupdated 10/16/2026, 08:00:00
Synthesis & Latest Updates
1 Sources Cross-Validated

Moonshot AI leveraged agent-assisted development in vLLM to build a unified CuTe DSL decode path for Kimi K3. The optimization achieves over 840 tokens/s at batch 1 on NVIDIA GB300 clusters and boosts throughput by 1.5–2x in tested configurations, marking a significant step in using AI to write low-level GPU kernels.

LATEST/Moonshot AI leveraged agent-assisted development in vLLM to build a unified CuTe DSL decode path for Kimi K3. The optimization achieves over 840 tokens/s at batch 1 on NVIDIA GB300 clusters and boosts throughput by 1.5–2x in tested configurations, marking a significant step in using AI to write low-level GPU kernels.

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Total 1 reports · Latest first
  1. vLLM 官方博客T1·68 pts
    • Coding agents are now capable of writing complex GPU kernels, performing cross-operator fusions, and overlapping computation with communication.
    • Kimi K3 achieved >840 tokens/s decode speed on NVIDIA GB300, with up to 1.8x improvement in P90 interactivity.
    • The pace of agent-optimized code generation is outstripping traditional manual review and maintenance workflows.
vLLM Uses AI Agents to Optimize Kimi K3 Inference on GB300 | Today for AI