Agentic Kernel Optimization

AI agents autonomously optimizing LLM kernels and execution graphs for WebGPU

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Description

A multi-agent optimization framework where a swarm of GPT-5.6 Sol agents collaborates to transform LLM execution graphs. The system discovers operator fusions and develops custom WebGPU kernels for complex architectures like Kimi Delta Attention (KDA) and Mixture of Experts (MoE), successfully increasing inference speed from 65 to 406 tokens per second on target hardware.

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Details

Why this is interesting: It demonstrates a highly advanced use case for agents: performing complex low-level engineering that yields a 6x…
Attributed to: @xenovacom
Built with: Kimi K3 GPT-5.6 Sol GPT Image 2 GPT-5 Codex GPT-5
Tags: #webgpu #optimization #kernels #multi-agent

Discovered: X
First posted: X · Jul 24, 2026
Listed: Added 46d ago
Build: Strong
Models: Strong