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FlashKDA
FlashKDA provides optimized CUDA kernels for efficient Kimi Delta Attention computation
Developer Tools·Launched Apr 2026·0 upvotes
last checked never · Unverified
CohortClass of 2026What it is
FlashKDA provides optimized CUDA kernels for efficient Kimi Delta Attention computation. Built to accelerate transformer attention mechanisms with specialized hardware implementations. Designed for developers building high-performance machine learning systems.
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Observed events
probes · press · GitHub- May 3, 2026+10 stars413 total
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Pulse Indexobserved activity
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Not enough observed signals for a Pulse Index (needs 2+ signal families).
GitHub activitydaily 04:15 UTC
Last commit
1mo ago
Last release
—
Open PRs
0
Open issues
4
Contributors 30d
0
Closed 30d
1
Cohort survival · Class of 2026weekly
567 products launched in 2026 · 100% still active
567 active0 sunset
Still active
100%
Median lifespan
4.9y