HF Transformers adds activation checkpoint offloading to CPU to free GPU memory
StasBekman · x · 2026-10-17
- Stas Bekman highlights a new Hugging Face Transformers feature that offloads activation checkpoints to CPU memory, aimed at training setups tight on GPU memory but rich in CPU RAM (requires transformers>=5.17).
- The memory profiler screenshot shows CUDA memory peaks during a forward-backward iteration dropping noticeably with offloading enabled.
- He notes the implementation still needs performance work; for near-zero-overhead offloading, he points to his ml-engineering repo, which uses a separate CUDA stream fully overlapped with compute plus prefetching.
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