Baseten

Baseten is a platform for deploying and serving machine learning models in production, aimed at teams that have a trained or open-source model and need a reliable, scalable inference API without building serving infrastructure themselves. Developers package a model using Truss, Baseten's open-source model-packaging framework, and deploy it to get an autoscaling endpoint with GPU support, request queuing, and monitoring built in. Baseten focuses heavily on inference performance, offering optimized runtimes for large language models and other generative models, autoscaling that responds to traffic including scale-to-zero, and the option to run workloads in the customer's own cloud account for data and compliance reasons. The platform handles model versioning, canary deployments, logging, and observability, and provides prebuilt deployments for popular open models so teams can start quickly. Baseten also supports chaining models and business logic into multi-step inference workflows, which suits pipelines like transcription followed by summarization. It is used by companies building AI-powered features such as transcription, image generation, search, and chat that need production-grade latency and uptime rather than a prototype. Pricing is based on the compute resources consumed while serving traffic, with committed-use options for teams running at consistent scale.