Baseten
High-performance LLM inference infrastructure
About
Founded in 2019 by Tuhin Srivastava and co-founders, Baseten is headquartered in San Francisco and has raised $585M through a Series E. The platform provides production-grade ML inference infrastructure optimized for latency, throughput, and cost efficiency, enabling enterprises to deploy and scale proprietary and open-source models—including Llama, DeepSeek, and Gemma—without managing GPU clusters themselves. Baseten partners with Google Cloud and NVIDIA and focuses on mission-critical inference workloads where performance SLAs are non-negotiable. It targets AI-native companies and large enterprises moving LLM applications from prototype to production at scale.
Products
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Baseten Inference Stack
— Deploy custom and open-source AI models at scale with high performance, uptime, and optimized infrastructure for AI inference workloads.
Customer sectors: ai startups, enterprise ai teams, ml engineers
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Pre-optimized Model APIs
— Instantly test and prototype AI models optimized for fast production performance to evaluate latest workloads with minimal setup.
Customer sectors: product teams, ml researchers, ai developers
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Baseten Train
— Train and deploy custom AI models easily with one-click deployment on infrastructure optimized for fast inference performance.
Customer sectors: ml engineers, data scientists, ai startups
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Baseten Cloud
— Managed global cloud service offering fast time-to-market, massive scale, and single-tenant clusters for workload isolation.
Customer sectors: enterprise ai teams, cloud-native startups, software companies
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Self-hosted Deployment
— Run Baseten’s managed inference services securely within your own VPC for low latency, high throughput, and flexible scaling.
Customer sectors: regulated industries, enterprise it, security-conscious teams
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Baseten — available to members.
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