Baseten

Baseten is an inference platform for teams running models in production. It covers the path from a checkpoint to a low-latency, autoscaling endpoint with the operational properties production requires.

What it provides

• Model APIs for popular open models, callable immediately with no deployment step
• Dedicated deployments of your own or fine-tuned models, with autoscaling, scale-to-zero, and fast cold starts
• Truss, an open-source packaging format that makes a model deployable with its dependencies and pre/post-processing
• Performance engineering. Custom kernels, speculative decoding, and compilation work that meaningfully improves tokens per second over a naive server
• Multi-cloud and self-hosted. Run in Baseten's cloud or in your own AWS, GCP, or Azure account so data and compute stay inside your perimeter
• Training for fine-tuning that lands directly in the same serving stack

Who uses it

Companies serving transcription, embeddings, image generation, and custom language models at scale, where per-token cost and tail latency both matter and a generic hosting layer is not enough.

Free credits for evaluation, usage-based pricing for dedicated capacity, and enterprise agreements for committed volume.