[Serve][Doc] Triton server integration #41923
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Signed-off-by: Sihan Wang <[email protected]>
sihanwang41
commented
Dec 14, 2023
| This guide shows how to serve models with [NVIDIA Triton Server](https://github.com/triton-inference-server/server) using Ray Serve. | ||
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| ## Installation | ||
| Here is the Dockerfile example for installing Triton Server with Ray Serve. |
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wait for dockerfile from nvidia.
Signed-off-by: Sihan Wang <[email protected]>
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Ping me when ready for review |
Signed-off-by: Sihan Wang <[email protected]>
Sounds good, let me know if you think anything needed to be added. The major thing waiting from nvidia is Dockerfile part. |
Signed-off-by: Sihan Wang <[email protected]>
Signed-off-by: Sihan Wang <[email protected]>
Signed-off-by: Sihan Wang <[email protected]>
Signed-off-by: Sihan Wang <[email protected]>
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@akshay-anyscale PTAL |
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| ## Start Ray Serve with the Triton Server | ||
| Triton Server provides python API to start the Triton Server instance. You can use the `nvcr.io/nvidia/tritonserver:23.12-py3` image which already have the Triton Server python API library installed. |
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Can we add the complete instructions for how to build an image that has both triton and ray?
Signed-off-by: Sihan Wang <[email protected]>
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Hi @edoakes, the pr is updated, PTAL. |
akshay-anyscale
approved these changes
Jan 22, 2024
Signed-off-by: Sihan Wang <[email protected]>
edoakes
approved these changes
Jan 23, 2024
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--------- Signed-off-by: Sihan Wang <[email protected]>
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cherrypick #41923 --------- Signed-off-by: Sihan Wang <[email protected]>
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Why are these changes needed?
Related issue number
Checks
git commit -s) in this PR.scripts/format.shto lint the changes in this PR.method in Tune, I've added it in
doc/source/tune/api/under thecorresponding
.rstfile.