beam-cloud / beta9
Ultrafast serverless GPU inference, sandboxes, and background jobs
Why this job: matched by what the repo talks about: inference, gpu, serverless, job
What it does
- Fast Cold Starts. Launch containers in under a second using a custom container runtime, scheduler, and embedded caching
- Parallelization and Concurrency. Fan out workloads to 100s of containers
- First-Class Developer Experience. Hot-reloading, webhooks, and scheduled jobs
- Scale-to-Zero. Workloads are serverless by default
- Volume Storage. Mount distributed storage volumes
Get started
pip install beam-client- Maintenance
- Active
- Last commit yesterday
- Stars
- 1,847
- +4 this week
- Licence
- AGPL-3.0
- Share-alike, even hosted
- Downloads for
- None listed
- No release files
- Latest tag
- gateway-0.1.852
- Released 3 days ago
- Built with
- Go
- 80% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 74% closed
- 11 still open
- Pull requests
- 1,867 merged
- 39 waiting
- Releases
- 1,000
- 30+ in the last year
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More: languages, topics and project record
Languages
- Go 80%
- Python 18%
- Shell 1%
- JavaScript <1%
Topics
- gpu
- ml-platform
- cuda
- fine-tuning
- generative-ai
- large-language-models
- llm
- distributed-computing
- llm-inference
- self-hosted
- autoscaler
- cloudrun
Project record
- JobLocal LLMs
- StatusListed
- Commits2,070
- Forks175
- Watching6
- Stars in 28 days+35
- CreatedNov 15, 2023
- First seen by usNov 7, 2026
- CheckedNov 10, 2026