Baseten

Baseten is an inference platform for running AI models in production. Teams deploy custom models, fine-tuned checkpoints, or open-weight models from a library of hundreds of LLMs and image models through an OpenAI-compatible API, or spin up dedicated deployments with their own GPU configuration and autoscaling rules. The company builds its own inference engines and runtime optimizations on top of multi-cloud GPU capacity, so workloads route to available capacity across providers and regions rather than being tied to one cloud.

The platform is aimed at ML and infrastructure engineers who need production-grade serving without building and operating that stack themselves: fast cold starts, autoscaling under bursty traffic, observability, and versioned deployments. Truss, its open-source packaging framework, lets developers wrap arbitrary model code into a deployable API, and the Chains SDK handles orchestration when a product strings together multiple models or processing steps. Embeddings inference is tuned separately for RAG and search workloads that need high throughput rather than low-latency single requests.

Baseten has recently pushed beyond pure inference hosting into training, with a fine-tuning and reinforcement learning SDK (Training & Loops) and hosted Model APIs for calling popular open models directly. That expansion, along with a large funding round in 2025, put it in a stronger position among AI infrastructure vendors, though it remains a backend layer most end users of AI products never interact with directly.