DeepSpeed
DeepSpeed is Every project grew its community, with 2.4x as many contributors as a year ago that spans all six foundation-hosted projects: PyTorch, vLLM, Helion, Ray, Safete. It is ranked #5265 on the AI Radar, in AI infra & evals, first seen 16 days ago and shared in 1 post (315 views).
What DeepSpeed says about itself
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
Latest News - DeepSpeed You are using an outdated browser. Please upgrade your browser to improve your experience. Latest News [2026/05] Using Muon Optimizer with DeepSpeed [2026/05] System DMA (SDMA) for ZeRO-3: offload collectives off compute units on AMD GPUs for better overlap [2025/12] DeepSpeed Core API updates: PyTorch-style backward and low-precision master states [2025/10] SuperOffload: Unleashing the Power of Large-Scale LLM Training on Superchips [2025/10] Study of ZenFlow and ZeRO offload performance with DeepSpeed CPU core binding More news [2025/08] ZenFlow: Stall-Free Offloading Engine for LLM Training [2025/06] Arctic Long…
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DeepSpeed in numbers
- Rank on the AI Radar: #5265 of 10402
- Shared in 1 post by 1 account: @PyTorch
- 315 views on those posts
- First seen 16 days ago, last shared 16 days ago
- Pricing seen by AGK Intelligence: open source
- Market: AI infra & evals
FAQ
What is DeepSpeed?
Every project grew its community, with 2.4x as many contributors as a year ago that spans all six foundation-hosted projects: PyTorch, vLLM, Helion, Ray, Safete It was first shared on X 16 days ago and is ranked #5265 on the AI Radar.
Is DeepSpeed free?
It is open source.
Who shared DeepSpeed?
1 account on X, including @PyTorch, in 1 post totalling 315 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. 65.6k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 15:10 UTC. Full method.