AI inference platform for deploying and scaling models in production
Baseten runs an AI inference platform on a Python, Go, Kubernetes and NVIDIA stack, with Slurm, containerd and PXE pointing to hands-on GPU cluster operation rather than a thin cloud wrapper. Adoption of RDMA, InfiniBand and NVLink signals investment in high-bandwidth multi-GPU interconnects. Hiring is accelerating and engineering-led, with new Hyperscalers and Emerging Clouds leadership roles suggesting capacity sourcing across multiple compute providers.
Notable leadership hires: Emerging Clouds Lead, Hyperscalers Lead, Head of Environment
Baseten is a San Francisco-based, privately held AI infrastructure company with 201–500 employees. It provides tooling, expertise and GPU hardware so teams can deploy and serve AI models in production with high availability. Its proprietary Inference Stack supports workloads such as Whisper transcription and multi-component workflows built with Chains. The company sells to developer and ML teams, backed by a growing sales and go-to-market organization, and hires across the United States, Canada and the United Kingdom.
Baseten uses Python, Go, Docker, Kubernetes, NVIDIA GPUs, Slurm, containerd and Terraform, with React and TypeScript on the front end, and is adopting RDMA, InfiniBand and NVLink.
Yes. Hiring is accelerating and engineering is the largest department, weighted toward senior roles, followed by sales and marketing, across the United States, Canada and the United Kingdom.
Baseten is building its Inference Stack, fast and accurate Whisper transcription, Chains for multi-component workflows, dedicated inference launches, and a billing platform integrated with Orb.
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Baseten's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.