# Fireworks AI 与 MiniMax AI 公开了稀疏注意力内核仓库，通过优化加载和存储管道实现 1.6 倍吞吐量提升

- 来源：Fireworks AI
- 发布时间：2026-07-30 01:17
- AIWatch 分数：64
- AIWatch 标记：当日精选
- AIWatch 链接：https://aiwatch.icu/events/evt_01kyqehe3jjz3bz7f1k3rd95bx
- 原文链接：https://x.com/FireworksAI_HQ/status/2082515981650546988

## 精选理由

常规快讯，保留列表

## AI 摘要

Fireworks AI 与 MiniMax AI 公开了稀疏注意力内核仓库，通过优化加载和存储管道实现 1.6 倍吞吐量提升。

## 正文

Both kernel repos behind our recent work with @MiniMax_AI are now public:
→ Fireworks: http://github.com/fw-ai/minimax-kernels
→ Minimax: http://github.com/MiniMax-AI/MSA/tree/fireworks-msa

RyanLee: Great to see @FireworksAI_HQ continuous optimizations on MiniMax Sparse Attention (MSA).

By refining the attention kernel’s load and store pipelines, they’ve achieved a 1.6x throughput uplift.

This work should bring meaningful value to open-source implementations.