https://github.com/jibbs1703/model-deployment-with-triton

This repository contains the steps in deploying/serving models in production using the Triton Inference Server.
https://github.com/jibbs1703/model-deployment-with-triton

docker etl model-deployment onnxruntime pytest triton-inference-server

Last synced: about 2 months ago
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This repository contains the steps in deploying/serving models in production using the Triton Inference Server.

• Host: GitHub
• URL: https://github.com/jibbs1703/model-deployment-with-triton
• Owner: jibbs1703
• License: mit
• Created: 2024-10-19T18:11:23.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-12T19:03:42.000Z (about 2 months ago)
• Last Synced: 2024-11-12T20:18:35.807Z (about 2 months ago)
• Topics: docker, etl, model-deployment, onnxruntime, pytest, triton-inference-server
• Homepage:
• Size: 25.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# Model-Deployment-with-Triton

This repository contains the steps in deploying/serving models in production using the Triton Inference Server.