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beta9

beam-cloud/beta9

Ultrafast serverless GPU inference, sandboxes, and background jobs

GitHub Website

GraphCanon updated 1d · GitHub synced 1d

1.8k stars158 forksLast push 6d Go AGPL-3.0

Decision brief

beta9 is an ultrafast serverless GPU inference platform with sandbox environments and background job capabilities. Noteworthy features include its focus on large language model inference and environment management.

Good fit when

Use beta9 when you specifically need to deploy large language models for ultrafast inference tasks, benefiting from its dedicated support for LLMs.
If your project requires efficient sandbox environments for testing or deploying AI models without the overhead of full server provisioning, beta9 offers a streamlined solution.

Avoid when

Avoid using beta9 if you need more general-purpose developer tools that don't specialize in large language model inference and related tasks.
Do not use this platform if your project does not benefit from GPU acceleration or serverless computing for background jobs and sandboxes, as these are beta9's key strengths.

Pricing:: unknown - The license type is AGPL-3.0 which may indicate an open-source community model with potential enterprise upgrades.
Requirements:: Development in Go implies the system leverages specific idiomatic patterns and libraries within this language which might not be portable across others.

Observed Jul 12, 2026 · Source: enrich:decision_facts

beta9 alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Very active (4d since push); As of 1d
Provenance: Not a fork · Organization account; As of 1d
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

go get github.com/beam-cloud/beta9

pkg.go.dev

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A platform for deploying ultrafast, serverless GPU-enabled services for large language model inference, sandbox environments, and running background tasks efficiently.

Capability facts

Languages: go
Source: github.language · Aug 24, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 24, 2026)

pip install beam-client

Source link

README

📦 Installation

pip install beam-client

For agents

This page has a .md twin and JSON over the API.

/tools/beam-cloud-beta9.md GET /api/graphcanon/tools/beam-cloud-beta9 GET /api/graphcanon/graph?tool=beam-cloud-beta9