---
format: "aidr-story-markdown/v1"
id: "58d2e800a62db5e14019818a2c06080bd8a90ab62fc9c1bf16f8818c65260b5a"
canonical_url: "https://aidr.today/58d2e800?lang=en"
title: "Hyper Optimizing Kimi K3 in vLLM"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-10-18T13:08:50.000Z"
category: "Frameworks"
topics: ["inference","framework"]
source_urls: ["https://vllm.ai/blog/2026-10-16-kimi-k3-megakernel","https://news.ycombinator.com/item?id=50140784"]
summary: "Agent-assisted CuTe DSL optimizations accelerate Kimi K3 decode on NVIDIA GB300 through scoped changes, correctness tests, and reproducible benchmarks."
---

# Hyper Optimizing Kimi K3 in vLLM

> [Open the canonical story](<https://aidr.today/58d2e800?lang=en>)

**Published:** 2026-10-18T13:08:50.000Z
**Category:** Frameworks
**Topics:** inference, framework

## Summary

Agent\-assisted CuTe DSL optimizations accelerate Kimi K3 decode on NVIDIA GB300 through scoped changes, correctness tests, and reproducible benchmarks\.

## Sources

- [Story source](<https://vllm.ai/blog/2026-10-16-kimi-k3-megakernel>)
- [Discussion](<https://news.ycombinator.com/item?id=50140784>)