I’ve been working on Triton Control, an open-source project that simplifies deploying models to NVIDIA Triton Inference Server.
This article walks through two complete workflows:
- Deploying an existing Triton model repository
- Converting a Hugging Face DistilBERT model to TorchScript and serving it with Triton
It covers S3-backed model repositories, Kubernetes deployment, GPU inference, and endpoint testing.
I’m particularly interested in feedback on the architecture and deployment workflow.
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