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TL;DR - Beam
- Serverless GPU
- AI model deployment
- Python simplicity
Pricing: Free plan available
Best for: Growing teams
Score: 79/100
Pros & Cons
Pros
- Serverless GPU
- Good for AI/ML
- Active development
- Fair pricing
- Good DX
Cons
- Newer platform
- Limited features
- Documentation improving
- Smaller community
- Still maturing
Key Features
Serverless GPUsContainer deploymentAuto-scalingTask queuesVolume storagePay-per-use
Pricing Plans
Free
Free
For exploration
- $3 free credits/month
- Basic GPU access
- Community support
Pro
Production workloads
- Pay per second
- A10G/A100 GPUs
- Autoscaling
- Priority queue
Enterprise
Custom infrastructure
- Volume discounts
- Private cluster
- Dedicated support
- SLA
About Beam
By Toolradar Team·
Beam is a cloud platform for running AI workloads with on-demand GPUs. Deploy machine learning models as APIs with zero infrastructure management. Auto-scaling handles traffic spikes without manual intervention. Pay only for compute time, not idle resources. Container-based deployments work with any framework. The simplest way to run AI in production without managing GPU infrastructure.
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Beam FAQ
What is Beam?
Beam is a serverless GPU platform for deploying Python code and AI models with automatic scaling.
Is Beam free?
Beam offers free tier credits. Pay-per-second GPU pricing after that.
How does Beam work?
Beam lets you decorate Python functions to run on GPUs in the cloud with a simple CLI deployment.
Source: beam.cloud