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    Added 6/3/2026

    Beam Cloud

    Open-source serverless GPU platform for inference, sandboxes, and agents.

    Beam Cloud is profiled here as a DevOps tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.

    DevOpsLLMBackendStorageDeploymentAgentic CapabilitiesEnterprise
    Visit WebsiteGitHub

    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

    See Beam Cloud pricing details →

    Alternative tools

    • Argo CD

      Declarative GitOps continuous delivery for Kubernetes

    • Robusta AI

      Kubernetes observability platform with AI-powered alert enrichment and remediation.

    • CoreWeave

      Bare-metal GPU cloud built exclusively for AI infrastructure.

    • Cerebrium

      Serverless GPU platform for real-time voice and multimodal AI.

    • Mintlify

      Documentation platform and knowledge infrastructure for AI agents

    • Komodor

      Autonomous AI SRE platform for Kubernetes operations and troubleshooting.

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