Effortless model serving.

Easily deploy your machine learning model with a single click.

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Gradient makes machine learning as effortless as modern web development. Whether you are deploying a web application or to an edge device like an iPhone, Gradient gives you the tools to move machine learning from R&D in to production. With 1-click deployments you can take your best-performing model and make it available with tools like multi-armed bandit, A/B testing, scheduled rollouts, and more. Gradient supports deployments on any hardware type and any framework including TensorRT, TF Serving, and many more.

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Output a model from any machine learning framework during an experiment or take a public model and use it as a starting point.

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Gradient will automatically parse model metrics and display them in the UI in real-time. Even better, install GradientCI to get reporting back in a GitHub repo.

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Analyze, profile, and share your models with your team. You can even share your model with the public.

Choose from any major Framework. Bring your own container or choose from wide selection of pre-configured templates complete with popular drivers and dependencies like CUDA and cuDNN.

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