Deploy Language Models

Effortlessly deploy and scale your AI models with our flexible infrastructure and developer-friendly tools.

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Deployment Options

Quickly deploy models using our managed cloud infrastructure with auto-scaling and built-in security.

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Run models on your own infrastructure with our enterprise-grade deployment templates and support.

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Combine cloud and on-premise capabilities for maximum flexibility and compliance with regulations.

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Select cloud, on-premise, or hybrid deployment based on your use case and infrastructure requirements.

For cloud:


                            llm deploy cloud /path/to/model

For on-premise:


                            llm deploy onpremise /path/to/model --config /path/to/config

Access deployment dashboards to view metrics, usage statistics and manage model versions.

Deployments:
- model-v1 (active)
- model-v2 (inactive)
- model-v3 (testing)

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Keep track of different model versions for reproducible deployments and easy rollbacks.

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Leverage our auto-scaling feature to handle traffic spikes efficiently.

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Ensure your APIs are secure with encryption and limited access.

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Track usage and optimize resource allocations to avoid unexpected charges.

Choose from cloud, on-premise, or hybrid solutions to get your models up and running.