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EAGLE-4 inference release

EAGLE-4 launches, hitting 961.6 tokens/s on Alibaba's Qwen3.8-27B via TokenSpeed on 4 NVIDIA B300s, its fastest yet.

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Key points

  • EagleCorp released EAGLE-4, which it says is its fastest inference release yet.
  • EAGLE-4 reached 961.6 tokens/s on Alibaba_Qwen's Qwen3.8-27B with TokenSpeed, using BF16, 4× NVIDIA B300, TP4, one request, T=0.
  • The original poster said one request on Qwen3.8-27B delivers 4× vanilla throughput: EAGLE-4 at 961.6 tokens/s, DFlash 2 at 672.6, DSpark at 618.6, and Vanilla at 240.5, with MegaKernel disabled and TokenSpeed.
  • The original poster linked to a GitHub page for EAGLE-4.

Key points and the reaction summary are written by AI from the posts on this page. Check the original post. How we use AI

Original post

Eagle @EagleCorp 9,562 followers

EAGLE-4 is here. From EAGLE-1 to EAGLE-3, we’ve kept making inference faster. EAGLE-4 is our fastest yet. 961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @NVIDIA B300, TP4, one request, T=0). Github: https://t.co/GwocZk1UTU https://t.co/GawgFNXKWj
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From @EagleCorp, @lightseekorg, @selim_aktas2 and others. Spam removed, with English and Chinese translations.

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