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Beam: Serverless Infrastructure for Generative AI

Introduction

Beam offers a serverless platform designed for AI teams to deploy inference endpoints, train AI models, and autoscale to hundreds of GPUs without the hassle of managing infrastructure.

Key Features

• Serverless Inference API: Deploy with a single command, complete with authentication, autoscaling, logging, and metrics.
• GPU Autoscaling: Scale out workloads to hundreds of GPUs based on queue depth.
• Data Management: Store and access data using highly-available cloud volumes.
• Magical Hot Reloading: Instantly run your code on any hardware with minimal changes.
• Easy Local Debugging: Test your code locally with the same configuration as production.
• Multiple Workers Per Container: Scale vertically by running multiple workers on the same container.
• CI/CD Integration: Deploy APIs automatically using GitHub Actions.

Use Cases

• Deploy Inference Endpoints: Quickly deploy serverless inference APIs for AI models.
• Train AI Models: Efficiently train large language models (LLMs) and generative AI models.
• Autoscale Workloads: Automatically scale AI/ML workloads across multiple GPUs.
• Data Science Stack: Run your entire data science stack seamlessly on Beam.

Pricing

Beam offers flexible pricing tailored to your usage. Pay only for the resources you consume, with options to scale up or down based on your needs.

Teams

Beam is built for AI teams who need performance, control, and reliability. Trusted by thousands of developers, Beam provides fast support and a robust community to help you succeed. Join the growing number of teams leveraging Beam to accelerate their AI development and deployment.

Deploy to production in minutes and experience the best developer experience for running models on GPUs at scale.