Beam logo

Beam

Serverless sandbox environments for AI agents

Niche neocloud🇺🇸 USserverlessopen-source

Beam is an open-source serverless cloud platform for AI workloads, offering sandbox environments with sub-second cold starts, checkpoint restore, and pay-per-millisecond billing.

Visit BeamDocumentation

We're actively tracking prices for Beam. Check back soon, or browse other providers with current pricing.

Browse ProvidersGPU Pricing

Pros & Cons

Advantages

  • Pay-per-millisecond billing with no charges for cold starts
  • Sub-second cold starts with checkpoint restore
  • Up to 80% savings compared to always-on instances
  • Open-source core engine (beta9) available for self-hosting
  • Unlimited apps, cloud storage volumes, and custom images
  • Developer-friendly Python SDK

Limitations

  • Smaller GPU selection compared to major cloud providers
  • Newer platform with smaller community
  • Focused primarily on serverless workloads

Key Features

Pay-per-millisecond Billing

Only charged when your code runs, no charges for cold starts or server spin-up

Sub-second Cold Starts

Fast function initialization with checkpoint restore technology

Sandbox Snapshots

Snapshot and restore sandbox state for faster deployments

Autoscaling

Automatic scaling based on demand with deployment logs included

Custom Docker Images

Bring your own Docker images for full environment control

Open Source

Core engine (beta9) is open-source and can be self-hosted

Getting Started

  1. 1

    Create an account

    Sign up on the Beam platform

  2. 2

    Set up Python environment

    Create a virtual environment and install the Beam SDK

  3. 3

    Authenticate with API token

    Configure your API token to connect to Beam