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baseten-guide

Deploy ML models to production with Baseten — high-performance inference with autoscaling and custom runtimes.

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## Overview

Baseten is a model-deployment platform focused on production inference
performance: deploy open models (or your own) behind autoscaled, low-latency APIs
with strong performance engineering (custom inference engines, optimized
serving stacks). The pitch is "self-hosted performance without self-hosting" —
you get serious inference optimization managed for you, with dedicated capacity
options for strict SLOs.

Where serverless GPU platforms optimize for convenience and scale-to-zero,
Baseten optimizes for the production middle: sustained traffic, latency SLOs,
and cost-per-token at volume. If your workload has graduated from "run this
model sometimes" to "serve this model reliably at scale," Baseten is built for
that transition.