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GPUMemoryTensor -> NVMeStorageTensor
Asynchronously page model tensor data directly between NVMe storage and GPU memory, bypassing intermediate host memory buffers.
Problem it solves
System DRAM capacity limits the maximum trainable parameter count on a given node.
Consumes
Emits
The real projects this mechanism was found in. Attribution is the point — this is how the best teams actually do it.