Triton Co-Pilot: A quick way to write glue code to make deploying with NVIDIA Triton Inference Server easier. It's a cool CLI tool that we created as part of an internal team hackathon.
Earlier, deploying a model to Triton was very tough. You had to navigate through the documentation for the Python backend, figure out how to get your inputs and outputs right, write a bunch of glue code, create a config.pbtxt file with all the correct parameters, and then package everything up. It could easily take a couple of hours.But with Triton Co-Pilot, all that hassle is gone. Now, you just write your model logic, run a command, and Triton Co-Pilot does the rest. It automatically generates everything you need, uses AI models to configure inputs and outputs, and handles all the tedious parts. You get your Docker container ready to go in seconds.
Check out our GitHub repository and see how much easier deploying to Triton can be! It would be great if you folks try it out and see if it works for you.
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