Beam
Serverless sandbox environments for AI agents
Last reviewed Mar 14, 2026
Beam is an open-source serverless cloud platform for AI workloads, offering secure sandbox environments, ultrafast boot times, and pay-per-millisecond billing with automatic scaling.
We're actively tracking prices for Beam. Check back soon, or browse other providers with current pricing.
Pros & Cons
Advantages
- Pay-per-millisecond billing with no charges for cold starts
- Ultrafast boot times with sub-second cold starts
- Up to 80% savings compared to always-on instances
- Secure sandbox environments ideal for AI agents and code execution
- Open-source core engine (beta9) available for self-hosting
- Unlimited apps, cloud storage volumes, and custom images
- Developer-friendly Python SDK with easy deployment
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
Ultrafast boot times with advanced container optimization
Secure Sandbox Environments
Run untrusted code safely in isolated environments for AI agents and code interpreters
Stateful, Persistent Runtimes
Pause and resume sessions while maintaining filesystem, memory, and running processes
Elastic GPU Scaling
Scale to zero when idle, burst to thousands of containers in seconds
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
Compute Services
Inference Endpoints
Deploy high-performance inference endpoints with custom models
- Custom model hosting on GPU or CPU
- Pre-loading models for fast response times
- Realtime and streaming capabilities
Sandboxes
Secure code execution environments for AI agents
- Run untrusted LLM-generated code safely
- Snapshot and restore complete system state
- File system operations and process management
Task Queues
Run large-scale workloads with distributed processing
- Audio processing pipelines
- Data processing at scale
- Queue management and status tracking
Containers
Host arbitrary containers as cloud services
- Import Docker images from any registry
- Web service hosting
- Streamlit and Gradio UI support
Pricing Options
| Option | Details |
|---|---|
| Pay-per-millisecond | Only pay for actual compute time with no minimum charges |
| Monthly Plans | Developer plan free with usage, Team plan starts at monthly base fee plus usage |
| Free Monthly Credits | All plans include monthly free credits for getting started |
Getting Started
- 1
Create an account
Sign up on the Beam platform
- 2
Set up Python environment
Create a virtual environment and install the Beam SDK
- 3
Authenticate with API token
Configure your API token to connect to Beam