AI Infrastructure & MLOps Freemium

Beam

Serverless GPU compute for inference, sandboxes, training, and jobs

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PricingFreemium
Starting price$0.19/core-hr
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentHybrid
Last verifiedJuly 29, 2026
Overview

Tool overview

Beam is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Beam?

Beam is an open-source serverless compute platform for deploying GPU and CPU endpoints, sandboxes, task queues, training jobs, and long-running workloads. It scales containers down when idle and supports cloud, bring-your-own-cloud, and self-hosted deployment paths.

Best fit

Best for

Developers who need elastic GPU workloads without managing clusters

Audience

Who is it for?

AI engineersML engineersPlatform teamsAgent developers
Recommendation

Decision note

Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.

Capabilities

Key features

Serverless GPU and CPU endpoints

Persistent sandboxes for AI agents

Task queues, jobs, and training workloads

Docker images, autoscaling, and scale-to-zero

Workflows

Use cases

Deploy custom model inference

Run isolated agent code

Process batch GPU workloads

Train and fine-tune models

Strengths

Pros

  • Developer plan has no monthly platform fee
  • Open-source self-hosting path
  • Per-second active-compute billing
Considerations

Cons

  • Python-first workflow may not fit every team
  • Warm-container settings can add billable time
  • Production quotas vary by plan
Considerations

Limitations

Compute cost depends on hardware, concurrency, warm time, and execution duration.

Self-hosting requires infrastructure, security, monitoring, and upgrade ownership.

Cost

Pricing details

Pricing modelFreemium
Starting price$0.19/core-hr
Free planNo
Free trialYes
Pricing context

Billing options

$0 platform fee plus usageTeam monthly plus usageGrowth custom
Pricing context

Pricing note

Developer is $0/month plus usage and includes $30 monthly credits. Team is $89/month plus usage. Active compute starts at $0.190 per CPU core-hour; listed GPUs range from $0.69/hour for RTX 4090 to $3.50/hour for H100.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Docker registries

GitHub Actions

AWS

GCP

Azure

Hetzner

Specs

Technical details

PlatformsWeb, API
Multilingual supportUnknown
Login requiredYes
Open sourceNo
LicenseAGPL-3.0
DeploymentHybrid
CompanyBeam
Current version0.1.583
Editions / plansFree, Basic, Professional, Organization, and Custom plans
Data confidenceHigh
Last verifiedJuly 29, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

Beam is an open-source serverless compute platform for deploying GPU and CPU endpoints, sandboxes, task queues, training jobs, and long-running workloads. It scales containers down when idle and supports cloud, bring-your-own-cloud, and self-hosted deployment paths.
Developers who need elastic GPU workloads without managing clusters
The listed pricing model for Beam is Freemium. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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