deepep-ascend
deepep-ascend is A high-performance communication library for machine learning training and inference on Huawei Ascend NPUs. - deepseek-ai/DeepEP-Ascend. It is ranked #2571 on the Dev Radar, in Other, first seen 30 days ago and shared in 4 posts (106.8k views).
GitHub - deepseek-ai/DeepEP-Ascend: A high-performance communication library for machine learning training and inference on Huawei Ascend NPUs. · GitHub Skip to content Navigation Menu Sign in Appearance settings Search / Sign in Sign up Appearance settings You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Repository navigation DeepEP-Ascend Public Notifications You must be signed in to change notification settings Fork 31 ( 31 ) Star 254…
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deepep-ascend in numbers
- Rank on the Dev Radar: #2571 of 8801
- Shared in 4 posts by 2 accounts: @NFT_Chen
- 106.8k views on those posts
- First seen 30 days ago, last shared 29 days ago
- Pricing seen by AGK Intelligence: open source
- Market: Other
FAQ
What is deepep-ascend?
A high-performance communication library for machine learning training and inference on Huawei Ascend NPUs. - deepseek-ai/DeepEP-Ascend It was first shared on X 30 days ago and is ranked #2571 on the Dev Radar.
Is deepep-ascend free?
It is open source.
Who shared deepep-ascend?
2 accounts on X, including @NFT_Chen, in 4 posts totalling 106.8k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 31.2k posts from 5k X accounts over the last 21 days, 8.8k tools, 12 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-10-30 21:12 UTC. Full method.