Self-Improving Agents Boost vLLM Inference Throughput by 16%
yisongyue · x · 2026-07-30
AsariAILabs demonstrated a breakthrough in underlying inference optimization using their 'self-improving agents'. The agents performed end-to-end optimization on the full vLLM inference stack.
Running DeepSeek v4 Pro and GLM 5.2 models on B200 GPUs, the agent achieved up to 16% higher throughput without using Multi-Token Prediction (MTP). Notably, every code modification was strictly verified, and the agent exhibited progressively faster self-improvement capabilities during iterations.
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