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ome-projects/ome

A Kubernetes operator that automates LLM deployment, GPU resource scheduling, and runtime selection for enterprise model serving.

ome
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OME (Open Model Engine) provides enterprise-grade management and serving of Large Language Models on Kubernetes. It treats models as first-class custom resources, automatically extracting architecture and parameter information from model files. The operator intelligently matches models to optimal runtimes like vLLM, SGLang, TensorRT-LLM, and Triton based on architecture scoring, while handling distributed storage, multi-format support (SafeTensors, PyTorch, TensorRT, ONNX), and GPU scheduling across clusters.

Frequently asked

What is ome-projects/ome?
A Kubernetes operator that automates LLM deployment, GPU resource scheduling, and runtime selection for enterprise model serving.
Is ome open source?
Yes — ome-projects/ome is open source, released under the Apache-2.0 license.
What language is ome written in?
ome-projects/ome is primarily written in Go.
How popular is ome?
ome-projects/ome has 476 stars on GitHub.
Where can I find ome?
ome-projects/ome is on GitHub at https://github.com/ome-projects/ome.

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