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Overview

Tagline Brand's website · 2026-10-04

Sub-second cold starts (up to 35x faster) via memory snapshots and GPU checkpoint restore, multi-cloud and bring-your-own-cloud compatibility with no vendor lock-in, massive parallelism for AI agent runs, simplified deployment with Python/TypeScript/Go SDKs (no YAML/Dockerfiles), and an AI-native runtime built for heavy AI workloads.

Description Brand's website · 2026-10-04

Beam provides a serverless GPU platform and sandboxed environments designed for running AI inference, agents, and task queues. It offers sub-second cold starts, massive parallelism, and multi-cloud support, simplifying the deployment and scaling of heavy AI workloads without requiring users to manage underlying infrastructure.

Offerings

Core capabilities Brand's website · 2026-10-04

  • Serverless GPUs for AI Inference
  • Durable Task Queues
  • Sandboxes for AI Agents
  • Multi-cloud GPU orchestration.

Pricing Brand's website · 2026-10-04

Pay-as-you-go, billed by the millisecond, only pay for what you use.

Audience

Target industry Brand's website · 2026-10-04

AI companies, machine learning engineers, developers, and businesses with heavy AI workloads requiring scalable and low-latency execution.

Landscape

Competitors Brand's website · 2026-10-04

  • AWS Sagemaker
  • Google Vertex AI

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Page last updated 2026-10-17.