Run Agent Sandboxes And Gpu Jobs With Beam

---
name: "Run agent sandboxes and GPU jobs with Beam"
slug: "run-agent-sandboxes-and-gpu-jobs-with-beam"
description: "Use Beam when an agent needs remote Python sandboxes, serverless GPU inference endpoints, or retryable background tasks without managing infrastructure."
github_stars: 1783
verification: "security_reviewed"
source: "https://github.com/beam-cloud/beta9"
author: "beam-cloud"
publisher_type: "organization"
category: "Developer Tools"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "beam-cloud/beta9"
  github_stars: 1783
---

# Run agent sandboxes and GPU jobs with Beam

Use Beam when an agent needs remote Python sandboxes, serverless GPU inference endpoints, or retryable background tasks without managing infrastructure.

## Prerequisites

Beam client, Python, Beam account or self-hosted Beam runtime, container/GPU resources as needed

## Installation

Install or set up from the source-backed instructions:

Install the Python client with pip install beam-client, complete the Beam onboarding or self-hosted setup, then define Sandbox, endpoint, or task_queue workloads in Python and deploy or invoke them with the Beam tooling.

- Source: https://github.com/beam-cloud/beta9

## Documentation

- https://docs.beam.cloud

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/run-agent-sandboxes-and-gpu-jobs-with-beam/)