Baseten
Production inference infrastructure for deploying your own AI models.
Visit Baseten Usage-based GPU pricing; enterprise plans
What is Baseten?
Baseten is a platform for deploying and scaling custom or open-source models in production, with autoscaling GPUs, low-latency serving, and observability. It targets teams shipping their own models rather than calling someone else's API.
Key features
- Deploy custom models with the open-source Truss packaging format
- Autoscaling including scale-to-zero
- Optimised serving engines for LLMs, Whisper, and image models
- Metrics, logs, and tracing built in
- Dedicated and self-hosted deployment options
Pros
- Strong performance engineering — fast cold starts and high throughput
- Built for production reliability, not just demos
- Works for any model you can package, not just a catalogue
Cons
- Overkill if you only need to call a hosted model
- Usage-based GPU pricing needs monitoring at scale
- Steeper learning curve than Replicate
Best for
ML teams deploying their own fine-tuned modelsStartups needing production SLAs on inferenceLatency-sensitive AI products
Read more
Alternatives to Baseten
Replicate
Run thousands of open-source AI models through one API, paying per second.
PaidPay per use (per second or per output); free trial credits
Released January 2021
Fireworks AI
Production inference for open-source LLMs — function calling, structured output, fine-tuning.
FreemiumFree $1 credit, then $0.20-$5/M tokens
Released September 2022
Modal
Serverless GPUs for AI — deploy any Python function at scale, pay per second.
Freemium$30/mo free credits, then pay-per-second
Released October 2021