Agentic Kernel Optimization

A swarm of agents collaboratively optimizing LLM kernels for massive speedups

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Description

An agentic optimization framework where a swarm of GPT-5.6 Sol agents discover operator fusions and develop new kernel algorithms. It successfully reduced a Kimi Linear model's 331-node graph down to just 22 GPU dispatches per token, increasing performance from 65 to 406 tokens per second.

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Details

Why this is interesting: It showcases a novel and highly ambitious use of AI agents to autonomously solve complex low-level engineering problems.
Attributed to: @xenovacom
Built with: Kimi K3 GPT-5.6 Sol GPT Image 2 GPT-5
Tags: #optimization #kernels #agent-swarm #llm-inference

Discovered: X
First posted: X · Jul 24, 2026
Listed: Added 1h ago
Build: Moderate
Models: Strong