Easily deploy and manage
models in production
Everything you need to run models performantly and reliably at scale
++++Products are only as good as their production performance
Get immediate production-readiness
Unlock global observability, five nines uptime, elastic autoscaling, and everything you need to get to market faster.
Drive faster release cycles
Gain production-ready tools to deploy, manage, and iterate on models in production, removing friction every step of the way.
Love your deployment tooling
Get the control and observability needed to keep your models performing reliably, whether you're serving five requests or five million.
++++Rapidly deploy AI models at scale
Deploy open-source and custom models
We developed Truss, an open-source library, to simplify deploying AI models in production. Deploy any AI model using any framework (including Tranformers, TensorRT, and Triton) with pure Python code and live reload.
Build ultra-low-latency compound AI systems
Baseten Chains is a framework and SDK that lets you link AI models and business logic into modular yet cohesive systems. Eliminate performance bottlenecks and maximize cost-efficiency with custom hardware and autoscaling for each step in your pipeline.
Launch custom servers with just a Docker file
Bring your pre-optimized model, or deploy any ready-to-use image. Baseten Custom Servers let you launch your Docker image untouched while gaining the cross-cloud autoscaling, fast cold starts, and low-latency model performance we specialize in.
Gain global observability
Have complete confidence in your production performance with custom (and exportable) metrics, custom health checks, expressive logging, and more. We're dedicated to providing a delightful DevEx.
Tools built for the next generation of AI products
Baseten gets the stuff we don't want to do out of the way. Now, our small, scrappy team can punch above our weight. It's everything from model serving, to auto-scaling, to iterating on products around those models, so we can deliver value to our customers and not worry about ML infrastructure.
- 440+ hours dev time saved yearly
- $600k annual resources saved
- 70% savings in GPU cost
Get started
Model management on Baseten
Launch an open-source model
Deploy popular open-source models like Llama and Whisper from our Model Library and experience the Baseten UI firsthand.
Deploy custom models with Truss
Get to know the self-serve deployment process using our open-source model packaging library, Truss.
Run multi-model inference
Learn more about how to deploy ultra-low-latency compound AI systems with our on-demand webinar on Baseten Chains.
