feat: add model warmup after deployment to reduce cold-start latency#11
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feat: add model warmup after deployment to reduce cold-start latency#11
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Run a minimal dummy inference request through each model right after start() completes. This pre-compiles CUDA kernels, allocates KV caches, and triggers any JIT/torch.compile tracing before the replica accepts real traffic.
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Run a minimal dummy inference request through each model right after start() completes. This pre-compiles CUDA kernels, allocates KV caches, and triggers any JIT/torch.compile tracing before the replica accepts real traffic.