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Reviews onG2Capterra
25 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Serverless GPU

Biggest con

Newer platform

TL;DR - Beam

  • Serverless GPU
  • AI model deployment
  • Python simplicity
Pricing: Free plan available
Best for: Growing teams
4.3/5 across review platforms

What is Beam?

Editorial review
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.

Available on: Web

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

Ratings Across the Web

4.3(25 reviews)

Ratings aggregated from independent review platforms. Learn more

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

null

Production workloads

  • Pay per second
  • A10G/A100 GPUs
  • Autoscaling
  • Priority queue

Enterprise

null

Custom infrastructure

  • Volume discounts
  • Private cluster
  • Dedicated support
  • SLA

Reviews

4.3/5

Across 25 verified user reviews on Capterra, G2

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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