Beam
Serverless GPU development for ML and API deployment
Pricing
$0.42/hr
Usage-based
Adoption
→StableLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is Beam?
Beam allows developers to develop on serverless GPUs, deploy highly performant APIs, and rapidly prototype ML models without the need for extensive infrastructure setup.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary SDK is in Python with no official support for other languages like Java or C#
Costs can quickly escalate as usage increases, especially with heavy GPU utilization
Fit analysis
Who is it for?
✓ Best for
Teams needing rapid prototyping of ML models on GPUs without infrastructure setup
Developers deploying high-performance APIs that require GPU acceleration
✕ Not a fit for
Projects with strict budget constraints as pricing is usage-based
Applications requiring real-time streaming capabilities (Beam focuses on batch processing)
Cost structure
Pricing
Free Tier
None
Starts at
$0.42/hr
Model
Usage-based
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Next step
Get Started with Beam
Step-by-step setup guide with code examples and common gotchas.