Self-Improving Agents Boost vLLM Inference Throughput by 16% for Trillion-Param Models
yisongyue · x · 2026-07-30
Asari AI Labs announced that their self-improving agents have successfully optimized the full vLLM project inference stack. Running DeepSeek v4 Pro and GLM 5.2 on B200 chips, they achieved up to 16% more throughput and interactivity.
The team emphasized that every optimization change was automatically verified by the agents, which got better and faster at finding improvements with each iteration. This approach of applying automated agents to optimize low-level inference infrastructure offers a new paradigm for deploying trillion-parameter LLMs efficiently.
Related event: AsariAI's Self-Improving Agents Boost vLLM Throughput by 16%(5 posts)→
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