Methods › General › Sharded Data Parallel Methods › ZeRO-Offload
ZeRO-Offload
Introduced by Jie Ren et al. in ZeRO-Offload: Democratizing Billion-Scale Model Training
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ZeRO-Offload is a sharded data parallel method for distributed training. It exploits both CPU memory and compute for offloading, while offering a clear path towards efficiently scaling on multiple GPUs by working with ZeRO-powered data parallelism. The symbiosis allows ZeRO-Offload to maintain a single copy of the optimizer states on the CPU memory regardless of the data parallel degree. Furthermore, it keeps the aggregate communication volume between GPU and CPU, as well as the aggregate CPU computation a constant regardless of data parallelism, allowing ZeRO-Offload to effectively utilize the linear increase in CPU compute with the increase in the data parallelism degree.
Papers archive 2025-07-28
4 shown of 4, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage 6 Jun 2025 · 0 repositories · arXiv:2506.06472
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ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates 18 May 2025 · 0 repositories · arXiv:2505.12242
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ProTrain: Efficient LLM Training via Memory-Aware Techniques 12 Jun 2024 · 0 repositories · arXiv:2406.08334
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ZeRO-Offload: Democratizing Billion-Scale Model Training 18 Jan 2021 · 3 repositories · arXiv:2101.06840
Tasks archive 2025-07-28
6 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| CPU | 4 |
| GPU | 4 |
| Computational Efficiency | 1 |
| Large Language Model | 1 |
| Management | 1 |
| model | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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