We review Colossal-AI's NVMe offload functionality, designed to overcome GPU memory limitations when training large-scale models by transferring optimizer states to NVMe disks. It highlights the TensorNVMe library, which facilitates this process and is compatible with various disk types, though NVMe SSDs are recommended for optimal performance. The text further explains the pipelined optimization process that overlaps computation and I/O, demonstrating its usage with CPUAdam and HybridAdam optimizers. Practical examples using GPT models illustrate the memory savings achieved through NVMe offloading for both CPU and Gemini-backed training. Finally, an API reference provides detailed information on the HybridAdam and CPUAdam classes and their parameters.Source: https://colossalai.org/docs/features/nvme_offload/

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