Baseten
Serve open source and custom AI models with autoscaling cold start optimizations and usage based pricing that includes free credits so teams can prototype and scale production inference fast.
Overview
Baseten is an inference platform that lets you deploy and serve models with low latency autoscaling and straightforward usage pricing. You can spin up pre optimized Model APIs to evaluate state of the art models in minutes or bring your own weights and fine tunes to run on dedicated infrastructure. The stack focuses on fast cold starts efficient GPU use and robust observability so you can watch throughput memory and token costs in real time.
Developers define resources via code or UI and add background workers batch jobs and webhooks for end to end pipelines. Security features include project level isolation roles and audit trails while enterprise options add private networking and SSO. Startup workspaces begin with free credits and pay only for what they use which suits experiments and pilots.
As workloads harden you can move to dedicated instances or higher throughput pools to support apps chat backends and batch generation at predictable cost.
Key features
- Pre optimized model APIs for rapid evaluation
- Bring your own weights with versioned deployments and rollback
- Autoscaling with fast cold starts
- Metrics logs and traces to monitor throughput errors and costs
- Background workers and batch jobs
- Webhooks and REST endpoints
- Private networking SSO and roles for enterprise
- Usage pricing with free credits
Best for
- Stand up a chat backend for prototypes then scale
- Serve fine tuned models behind a stable API
- Batch process documents or images using workers
- Replace brittle scripts with autoscaled endpoints
- Evaluate multiple open models quickly
- Track token use latency and error spikes
- Build internal tools that call models securely
- Migrate from DIY servers to managed inference
Capabilities
Model APIs
Expose pre optimized or custom models behind reliable endpoints with versioning autoscaling and rollbacks for safer releases.
Metrics and Traces
Inspect latency throughput memory and token costs to guide model choice and capacity planning as traffic changes.
Workers and Batches
Run offline jobs and queue based pipelines to handle large document image or audio workloads efficiently.
Governance
Apply roles audit trails and private networking so regulated teams can deploy models while meeting policy needs.
Frequently Asked Questions
How does pricing start?
Baseten advertises usage based pricing with free credits on Startup workspaces and no platform fee with dedicated options for higher scale workloads.
Can I test models without setup?
Yes pre optimized Model APIs let you try popular models immediately and measure latency and cost before deeper integration.
Do you support custom weights?
You can deploy your own checkpoints and fine tunes with versioned releases and rollback controls.
How do you handle cold starts?
The stack is engineered for fast cold starts and efficient autoscaling so bursty traffic remains responsive under load.
Is there enterprise security?
Enterprise options include SSO private networking and role based controls with audit logs for compliance.
Can I run batch jobs?
Background workers and batch pipelines are supported to process large queues asynchronously with monitoring.
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