Vast.ai Serverless

Infrastructure service

Autoscaling GPU endpoints for AI inference on the Vast.ai fleet: workers are provisioned from load predictions, with a reserve pool for fast cold starts, defined from the Python SDK, CLI or API and billed per second at the platform's GPU rates.

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TypeInfrastructure service
RoleBundled component
AvailabilitySold
DeploymentSaaS
Intended forDeveloper
SecurityNot recorded
StatusActive
Sold withinVast.ai GPU Cloud
PricingUsage-based — official pricing ↗

What it does

vast.ai

Sources

Pricing

Official documentation · 18 Oct 2026

"Fully transparent with no surcharge for serverless." and "Per-second billing with On-Demand, Interruptible, or Reserved pricing"; live GPU rates are on the pricing page.

Description

Official documentation · 18 Oct 2026

"Automate the provisioning of GPU workers to match the dynamic computational needs of your workloads."

What it does

Official documentation · 18 Oct 2026

"Automatically scale your AI inference up or down based on customizable performance metrics."

Sold within

Not found · 18 Oct 2026

Read the Serverless page and the pricing page: Serverless runs on the same GPU fleet and is billed at its rates ("no surcharge for serverless"), but no page states whether it is included in or bought apart from the GPU Cloud.

Name

Official documentation · 18 Oct 2026

Products menu entry "Serverless"; page title "Serverless | Vast.ai".

URL

Official documentation · 18 Oct 2026

The product's own page, titled "Lowest Cost, Autoscaling GPU Cloud | Serverless | Vast.ai" and linked as "Serverless" in the Products menu.

Deployment

Official documentation · 18 Oct 2026

Page: "Run workloads on dedicated infrastructure with full environment control and SOC 2 Type I compliance."

Interfaces

Official documentation · 18 Oct 2026

"Define your Docker image, packages, and autoscaling config entirely in code. The Vast SDK handles endpoint creation and management"; "Prefer code? Hit our lightweight CLI or API endpoints".

Intended for

Official documentation · 18 Oct 2026

"Deploy from Python, Not the Dashboard": for developers running inference workloads.

Also from Vast.ai

Open Vast.ai in the directory

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