Baseten is a managed inference platform for deploying and scaling open-source and custom AI models in production, with autoscaling GPU infrastructure.
Category
AI Infrastructure & MLOps
Pricing
Usage-based (free trial credits + paid plans), from Usage-based; free trial credits for new users
Verified
Not yet
Last updated
July 18, 2026
Founded
2019
Headquarters
San Francisco, California, United States
Free PlanWeb AppAPIAIFreemiumSelf-Hosted
Overview
Baseten is a managed AI model inference platform founded in 2019 and headquartered in San Francisco, California. It provides infrastructure for deploying, scaling, and serving machine learning models in production without requiring teams to manage their own GPU infrastructure.
Key Features
Built on its open-source model packaging framework Truss, Baseten handles autoscaling including scale-to-zero, multi-cloud/multi-region GPU compute, model versioning, and production monitoring, optimized for low-latency, high-throughput inference.
The platform offers a library of ready-to-deploy open-source models such as Llama, Stable Diffusion, and Whisper, alongside support for deploying fully custom models and inference pipelines.
Pricing
Baseten uses usage-based pricing tied to GPU compute time, with free trial credits available for new users to test the platform. Custom Enterprise pricing is available for larger deployments requiring dedicated capacity, private cloud deployment, or compliance features like SOC 2 and HIPAA support.
Key Features
Managed GPU Inference — Deploy and serve ML models without managing your own GPU infrastructure.
Autoscaling & Scale-to-Zero — Automatically scales compute based on demand, including scaling to zero when idle.
Open-Source Model Library — Ready-to-deploy versions of popular models like Llama, Stable Diffusion, and Whisper.
Custom Model Deployment — Deploy custom-trained models and inference pipelines using the Truss framework.
Multi-Cloud GPU Compute — Access GPU compute across multiple cloud providers and regions.
Production Monitoring — Monitor model performance, latency, and reliability in production.
Pros & Cons
Pros
Removes the need to build and manage GPU infrastructure in-house
Scale-to-zero autoscaling avoids paying for idle compute
Broad library of ready-to-deploy open-source models
Free trial credits available for new users to evaluate the platform
Cons
Usage-based GPU pricing can be harder to predict than flat subscription pricing
Enterprise compliance features (SOC 2, HIPAA) require custom pricing
Best suited for teams with existing ML/AI deployment needs rather than no-code users
Pricing
Basic $0/month base + usage monthly
Pro Custom (volume discounts, contact sales)
Enterprise Custom (contact sales)
Frequently Asked Questions
What is Baseten used for?
Baseten is used to deploy, scale, and serve machine learning models in production, including open-source and custom-trained models.
How is Baseten priced?
Baseten uses usage-based pricing tied to GPU compute time, with free trial credits for new users and custom Enterprise pricing for larger deployments.
What models can I deploy on Baseten?
Baseten offers a library of ready-to-deploy open-source models like Llama, Stable Diffusion, and Whisper, plus support for custom models via its Truss framework.
Does Baseten support scale-to-zero?
Yes, Baseten's autoscaling includes scale-to-zero to avoid paying for idle GPU compute.