Beam
Serverless GPU development for ML and API deployment
- Status
- Generally available
- Last checked
- Checked · Oct 13, 2026
- License
- Open source
- Pricing
- Paid · from $0.42/hr
What it is
Beam allows developers to develop on serverless GPUs, deploy highly performant APIs, and rapidly prototype ML models without the need for extensive infrastructure setup.
Beam stands out by offering a serverless environment for GPU development, enabling rapid prototyping and deployment of ML models without the overhead of managing infrastructure.
When it fits — and when it doesn’t
A good fit for
Teams needing rapid prototyping of ML models on GPUs without infrastructure setup
Developers deploying high-performance APIs that require GPU acceleration
Look elsewhere if
Projects with strict budget constraints as pricing is usage-based
Applications requiring real-time streaming capabilities (Beam focuses on batch processing)
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Expensive at scale due to pay-per-use pricing model
Costs can quickly escalate as usage increases, especially with heavy GPU utilization
What it does well
Serverless GPU development environment
Highly performant API deployment
Rapid ML model prototyping
Pricing
- Free tier
- No
- Paid from
- $0.42/hr
- Model
- Usage-based
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page. Vendor pricing ↗
Performance benchmarks
How Fast Is It?
Set up Beam
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for Beam’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
[](https://navigateaitools.com/explorer/tool/beam)HTML
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