[doc][serve][llm] Model loading Docs #57922
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Signed-off-by: ahao-anyscale <ahao@anyscale.com>
Signed-off-by: ahao-anyscale <ahao@anyscale.com>
kouroshHakha
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Oct 20, 2025
Signed-off-by: ahao-anyscale <ahao@anyscale.com>
Signed-off-by: ahao-anyscale <ahao@anyscale.com>
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Signed-off-by: ahao-anyscale <ahao@anyscale.com>
Signed-off-by: ahao-anyscale <ahao@anyscale.com>
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cool, need to wait until landing: https://github.com/anyscale/ray-serve-llm-perf-examples/tree/master/replica_initialization
In the meantime please address the comments below
| ``` | ||
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| In this example the cache folder is located at `/home/ray/.cache/vllm/torch_compile_cache/131ee5c6d9`. | ||
| Simply upload this file to your S3 bucket. The cache folder can now be retrieved at startup. We provide a custom utility to download the compile cache from cloud storage. Simply specify the `CloudDownloader` callback in `LLMConfig` and supply the relevant arguments. Make sure to set the `cache_dir` in compilation_config correctly. |
Signed-off-by: ahao-anyscale <ahao@anyscale.com>
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Oct 24, 2025
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Oct 27, 2025
Signed-off-by: ahao-anyscale <ahao@anyscale.com> Signed-off-by: xgui <xgui@anyscale.com>
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Signed-off-by: ahao-anyscale <ahao@anyscale.com>
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Signed-off-by: ahao-anyscale <ahao@anyscale.com> Signed-off-by: Aydin Abiar <aydin@anyscale.com>
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Description
Documents best practices and strategies to decrease autoscaling time for serve llm replicas.