Baseten

Baseten is an Infrastructure platform that provides high-performance AI inference for deploying open-source, fine-tuned, and custom models in production, with enterprise pricing tailored to workload scale. It targets ML engineers, AI startups, and enterprises that need to serve large language models, image generation, audio, and embedding models at low latency without managing GPU infrastructure themselves.

Founded in 2019 and headquartered in San Francisco, Baseten has raised over $135 million in funding (including a $75M Series C in 2025) and serves customers including Descript, Patreon, Writer, Bland AI, and Rime. The platform supports popular models such as NVIDIA Nemotron 3 Super, GLM 5, Kimi K2.5, GPT OSS 120B, Whisper Large V3, and Rime Mist v3, alongside any custom model packaged via the open-source Truss framework. Baseten's inference stack is engineered for speed: the company reports up to 1500+ tokens per second on certain LLMs and sub-100ms latency for real-time audio workloads, with cross-cloud deployment across AWS, GCP, Azure, Oracle, and Coreweave so workloads can burst across regions and providers based on GPU availability.

Compared to the other inference and deployment platforms in our directory of 870+ AI tools, Baseten differentiates itself through its production-grade focus rather than experimentation. While Replicate and Hugging Face Inference Endpoints prioritize ease of getting started, and RunPod or Modal lean toward general-purpose serverless GPU compute, Baseten emphasizes performance optimization (custom CUDA kernels, speculative decoding, TensorRT-LLM integration), multi-region autoscaling, and SOC 2 / HIPAA-ready infrastructure. It is particularly well-suited for teams that have outgrown a single-region deployment and need predictable latency, observability, and compliance at scale. Pricing is consumption-based with enterprise contracts, and Baseten offers a free trial with $30 in credits for new accounts to evaluate the platform.