🚀 Day 1 of #OpenSourceWeek: FlashMLA Honored to share FlashMLA - our efficient MLA decoding kernel for Hopper GPUs, optimized for variable-length sequences and now in production. ✅ BF16 support ✅ Paged KV cache (block size 64) ⚡ 3000 GB/s memory-bound & 580 TFLOPS compute-bound on H800 🔗 Explore on GitHub: t.co/4JvJTn5HX2

Feb 24, 2025, 1:34 AM UTC

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🚀 Day 1 of : FlashMLA

The post introduces FlashMLA as an efficient decoding kernel released during OpenSourceWeek. It highlights supported features, production status, benchmark results, and a GitHub link for further exploration.

Views: 1.7M
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Replies: 547
Reposts: 1.3K
Quotes: 332
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Topics: Open-source project launchGPU performanceSoftware featuresAI

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Open-source project launchGPU performanceSoftware features

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🚀 Day 1 of #OpenSourceWeek: FlashMLA Honored to share FlashMLA - our efficient MLA decoding kernel for Hopper GPUs, optimized for variable-length sequences and now in production. ✅ BF16 support ✅ Paged KV cache (block size 64) ⚡ 3000 GB/s memory-bound & 580 TFLOPS compute-bound on H800 🔗 Explore on GitHub: https://t.co/4JvJTn5HX2

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🚀 Day 1 of #OpenSourceWeek: FlashMLA

Tweet text structureThe Featured Launch Update

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01
The Event Hook
Open with the first day of an event and name the featured item.
02
The Announcement
State what is being shared and give its main benefit, use case, or current status.
03
The Proof Points
List key features and add measurable performance or outcome data.
04
The Call To Action
Invite readers to explore the full resource through a direct link.