Baseten is an inference platform for deploying AI models at scale providing both dedicated infrastructure and pre-optimized model APIs. The platform specializes in serving image generation, transcription, text-to-speech, LLM inference, embeddings, and compound AI workloads with performance-optimized infrastructure that delivers 75% latency reduction compared to generic cloud deployments. Cold start times of 415ms and support for 3000+ concurrent requests make it suitable for production applications with demanding latency requirements.
The platform offers pre-built optimized APIs for popular models alongside the ability to deploy custom models from any framework. Training-on-Baseten capabilities enable teams to fine-tune models without moving data between platforms. Available as both Baseten Cloud managed service and self-hosted deployment the infrastructure accommodates diverse security and compliance requirements. Customers including Cursor, Notion, Descript, Gamma, and Sourcegraph validate the platform readiness for production workloads.
With approximately $150M in funding Baseten has invested heavily in GPU infrastructure optimization and model serving efficiency. For AI teams the platform eliminates the complex engineering of model deployment, auto-scaling, and GPU management that would otherwise require dedicated infrastructure engineers. The pay-as-you-go pricing model aligns costs with actual usage while enterprise plans provide reserved capacity and priority support for organizations with predictable inference workloads.
