Hunyuan(@TXhunyuan)

One more thing about Hy4 preview that is particularly interesting. In AI research. Hy4 preview found...

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One more thing about Hy4 preview that is particularly interesting.
In AI research. Hy4 preview found...

TL;DR · AI 摘要

腾讯Hy4预览通过操作符融合和通信优化,实现推理吞吐量提升31.8%。

核心要点

  • Hy4预览通过操作符融合和通信优化,端到端吞吐量提升31.8%。
  • 支持1M上下文长度和49B活跃参数,适用于大规模任务。
  • 模型参数达770B,提供开源版本且价格稳定。

结构提纲

按章节快速跳转。

  1. §Hy4预览核心突破

    介绍Hy4在推理优化方面的创新方法及效果。

  2. 通过自研技术定位并解决推理瓶颈问题。

  3. 操作符融合和通信优化使吞吐量提升31.8%。

  4. 支持1M上下文长度和770B参数规模。

  5. 提供开源版本并强调价格稳定性。

思维导图

用一张图看清主题之间的关系。

查看大纲文本(无障碍 / 无 JS 友好)
  • Hy4预览技术突破
    • 优化方法
      • 操作符融合
      • 通信优化
    • 性能提升
      • 吞吐量+31.8%
      • 稳定性跨场景
    • 技术参数
      • 770B参数
      • 1M上下文

金句 / Highlights

值得收藏与分享的关键句。

#AI模型#腾讯#Hy4#推理优化
打开原文

Tencent Hy on X: "One more thing about Hy4 preview that is particularly interesting. In AI research. Hy4 preview found inference bottlenecks on its own and lifted e2e throughput 31.8% via operator fusion and comms opts — stable across context lengths and concurrency. MORE ON: https://t.co/MXVjtIFxe… / X

Tencent Hy

@TencentHunyuan

One more thing about Hy4 preview that is particularly interesting. In AI research. Hy4 preview found inference bottlenecks on its own and lifted e2e throughput 31.8% via operator fusion and comms opts — stable across context lengths and concurrency. MORE ON:

hy.tencent.ai

Aug 28

🚀 Hy4 preview is here. 770B, 49B active, 1M context. Built for productivity. Open source frontier. Consistent affordable price. Use it. Tell us what breaks. More on Hy blog:

hy.tencent.ai/research/hy4-p…

HuggingFace

huggingface.co/tencent/Hy4-pr…

Github

github.com/Tencent-Hunyua…

10:12 AM · Sep 1, 2026

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