What Baseten does
Baseten is an AI training and inference platform for model APIs, custom deployments, GPU autoscaling, environments, observability, optimization, and cloud, hybrid, or self-hosted operation.
Baseten sits between model development and an application. Truss packages custom models, deployments create versioned API endpoints, environments manage promotion and stable routing, and autoscaling changes replica counts based on traffic. Model APIs offer a quicker OpenAI-compatible path for selected hosted models, while observability exposes logs, metrics, traces, and deployment behavior.
Basic has no platform subscription and uses pay-as-you-go model, GPU, training, and storage charges; Model APIs publish token rates by model. Pro adds priority capacity, dedicated compute, higher limits, and support under a quote, while Enterprise adds self-hosting, hybrid deployment, regions, RBAC, and custom SLAs. Scale-to-zero reduces idle cost but can introduce cold starts, and deployment or warm capacity can still bill.
Baseten states that cloud inference inputs and outputs are not stored and publishes SOC 2 Type II, HIPAA, GDPR, and related trust materials. Application logs, enabled traces, model code, weights, prompts, connected stores, and the customer's own telemetry still create data paths. Teams must control secrets, evaluate model safety, cap replicas and spend, test rollback, monitor abuse, and confirm region and self-hosting details contractually.
How Baseten works
A team can call a pre-optimized Model API or package its own model, dependencies, resources, secrets, and prediction code with Truss. Baseten builds a container, provisions GPU infrastructure, exposes an authenticated REST endpoint, and routes requests to replicas. Environments provide stable URLs for development, staging, canary, and production while autoscaling reacts to in-flight demand. Engineers must benchmark outputs, latency, concurrency, cold starts, failure behavior, privacy, and cost and retain human oversight for the application using the model.
How to set up Baseten
Define service objectives
Set model version, input and output schema, accuracy checks, latency percentiles, throughput, regions, privacy, availability, and maximum cost.
Choose API or custom deployment
Use Model APIs for supported hosted models or package a custom checkpoint and runtime with Truss and explicit resources.
Benchmark one development deployment
Test representative and adversarial inputs, concurrency, memory, cold starts, timeouts, cancellation, logs, and complete unit economics.
Create staged environments
Use stable staging and production endpoints, automated predict checks, canary or rolling promotion, and a tested rollback path.
Operate with bounded scaling
Set min and max replicas, concurrency targets, alerts, rate limits, secret rotation, observability exports, and periodic output evaluations.
Baseten FAQs
Is Baseten free?
There is no Basic platform fee and new accounts receive trial credits, but deployed model compute, APIs, training, and storage are usage-billed.
What is Truss?
Truss is Baseten's open-source model-packaging format for defining dependencies, resources, runtime behavior, secrets, and prediction code.
Can deployments scale to zero?
Yes. A zero minimum replica removes idle compute cost, but the next request may wait through a cold start and startup time can bill.
Does Baseten store inference prompts and outputs?
Baseten states it does not store model inputs or outputs on its cloud path. Customers should still inspect logs, traces, connected systems, and contracts.
Can Baseten run in a customer's cloud?
Enterprise materials describe self-hosted and hybrid deployment options with data-residency and cloud-commit controls; these require a custom agreement.
Listing reviewed 2026-07-27. Product details and pricing can change; verify important terms on the provider's website.
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