Beam Cloud
Open-source serverless GPU platform for inference, sandboxes, and agents.
Beam Cloud is profiled here as a Deployment tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Beam Cloud is a Python-native serverless GPU platform built by college roommates Eli Mernit and Luke Lombardi, who founded the company in 2021 after building a deployment framework to win hackathons. The core platform, beta9, is 100% open source and self-hostable, which separates Beam from every other GPU cloud in this category. Hundreds of companies including Fortune 100 customers run production AI workloads on Beam, handling millions of daily requests across inference, agent sandboxes, and background jobs.
Key Capabilities:
Sub-second container starts using a custom runc runtime
Sub-10-second cold starts for models with 7B+ parameters
Serverless GPU inference with scale-to-zero by default
Secure sandboxes for isolated LLM-generated code execution
Background jobs including async webhooks and scheduled cron jobs
Open-source self-hosting via beta9 with BYOC compute support
Python-native deployment without YAML or configuration files
Fan-out parallelization across hundreds of containers
GPU support across RTX 4090s and H100s
Multi-cloud workload distribution via Tigris object storage
Persistent volume storage
Autoscaling with telemetry and built-in auth
Hot-reloading for iterative development without container restarts
Alternative tools
- Dokku
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- Heroku
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- Porter
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- Kamal
Deploy containerized apps to your own servers
- Coolify
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- Netlify
Git-driven platform for deploying modern web frontends