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Beam

Cloud Platforms for AIPaid

Serverless Infrastructure for Generative AI

Last updated Apr 18, 2026

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What is Beam?

Beam offers serverless infrastructure designed for Generative AI, enabling users to run GPU inference and training jobs efficiently. With features like autoscaling, fast cloud storage with storage volumes, and simple deployment commands, Beam simplifies the process of managing and scaling AI applications. The platform boasts fast cold start times, easy local debugging, and seamless integration with CI/CD pipelines to ensure smooth and reliable operations. Trusted by thousands of developers, Beam prioritizes performance, control, and reliability, making it an ideal solution for modern AI-driven projects.

Beam's Top Features

Key capabilities that make Beam stand out.

Autoscaling to hundreds of GPUs

Fast cold start times

Serverless inference and training

Simple deployment commands

Built-in authentication and metrics

High-performance cloud storage

Local debugging capabilities

CI/CD pipeline integration

Active Slack community support

Developer-friendly environment

Use Cases

Who benefits most from this tool.

AI developers

Run GPU inference and training jobs on scalable serverless infrastructure.

Teams with latency-sensitive applications

Keep servers running 24/7 to meet high demand and low latency requirements.

Data scientists

Deploy machine learning models easily without managing server infrastructure.

Startups

Scale applications cost-effectively without extensive infrastructure investments.

Companies needing fast deployment

Deploy to production quickly with minimal setup time.

Tech companies focusing on Generative AI

Utilize specialized serverless services for generative AI applications.

Organizations requiring robust security

Choose self-hosted deployments for enhanced data security and compliance.

Developers seeking easy debugging

Benefit from local debugging with exact production configuration.

Companies with existing Docker workflows

Import and use custom Docker images seamlessly on Beam.

Enterprises needing comprehensive support

Access different levels of support based on subscription plans and needs.

Explore Top AI Use Cases

Tags

serverlessinfrastructureGPU inferencetraining jobsautoscalingcloud storagedeploymentAI applicationslocal debuggingCI/CD pipelines

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Frequently Asked Questions

How much does storage cost?
Storage is included, free of charge.
Can I use Beam for CPU workloads?
Yes, Beam supports running various CPU workloads as well.
Can Beam be used for non-serverless applications?
Yes, apps can be configured to stay running 24/7 to meet latency-sensitive requirements.
What differentiates Beam from other GPU providers?
Beam offers a highly developer-friendly experience and very fast cold startups.
Am I charged for cold start times?
No, Beam only charges for the time required to load your application code.
Can existing Docker images be used on Beam?
Yes, third-party base images can be imported to Beam for use.
How scalable is Beam?
Beam can scale workloads to hundreds of GPUs, handling hundreds of requests per minute.
How secure is Beam?
Beam ensures workload isolation with non-root containers and offers a self-hosted option within your VPC.
What kind of support does Beam offer?
Beam offers community support for Developer plans, live chat for Team plans, and private Slack channels for Growth plans.
Does Beam provide autoscaling features?
Yes, Beam includes robust autoscaling features to optimize resource utilization.