Serving
Model loading reads checkpoint tensors and places the required weights into host or device memory. Checkpoint layout, shard count, storage locality, and conversion work shape the path.
Loading time contributes to cold starts, recovery, and replica scaling. Extra copies or format conversion can consume memory headroom before the model serves a request.
Loaders validate metadata, stream or map tensor data, and allocate destination buffers. Readiness begins only after required transfers, initialization, and warmup have completed.
Model loading reads checkpoint tensors and places the required weights into host or device memory. Checkpoint layout, shard count, storage locality, and conversion work shape the path. Loaders validate metadata, stream or map tensor data, and allocate destination buffers. Readiness begins only after required transfers, initialization, and warmup have completed.
Loading time contributes to cold starts, recovery, and replica scaling. Extra copies or format conversion can consume memory headroom before the model serves a request.
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