Baseten is a platform that lets developers deploy, manage, and scale open-source or custom AI models for production inference via APIs and integrations.
Baseten is an AI inference platform designed to deploy, scale, and manage open-source and custom machine learning models in production. It abstracts away infrastructure complexity so teams can focus on model development while relying on a reliable, low-latency serving layer. The platform is built for modern AI workloads, from small prototypes to high-throughput, enterprise-grade applications.
Key capabilities include one-click deployment of models from frameworks such as PyTorch, TensorFlow, and Hugging Face, as well as support for custom Docker images and Python environments. Baseten provides autoscaling based on traffic, GPU and CPU resource management, and features like cold-start mitigation to ensure consistent performance. It offers versioning, canary deployments, and observability tools such as logs, metrics, and request tracing to help debug and optimize model behavior. Integration options include REST and gRPC APIs, SDKs, and support for background jobs and batch inference.
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