Beam Cloud
Open-source serverless GPU platform for inference, sandboxes, and agents.
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
- Hugging Face Inference
Serverless and dedicated inference across 500,000+ Hub models.
- RunPod
Community and secure GPU cloud for AI inference and training.
- Lambda Labs
GPU cloud and on-premise AI infrastructure for ML teams.
- Koyeb
Serverless platform for apps, inference, and AI agent deployment.
- Northflank
Deploy and scale workloads on your own cloud infrastructure.
- Modal
Serverless GPU platform for AI inference, training, and batch jobs.
