Beam

Beam is an AI-native cloud platform that provides on-demand AI compute, including sandboxes, task queues, and GPU-backed inference. It aims to run large-scale AI workloads with instant autoscaling and a developer-friendly experience, while enabling users to bring their own compute from major cloud providers.

Beam offers on-demand AI compute that includes: inference endpoints for high-performance model deployment, task queues for large-scale workloads, sandboxes for secure code execution, containers to host cloud services, distributed storage volumes, and scheduled cloud functions. It supports running workloads across AWS, GCP, Azure, and Hetzner, switching hardware with a single Python line, local debugging with production-mimicking configurations, multiple workers per container, Docker-in-Docker, CI/CD deployment via GitHub Actions, and a unified platform for sandboxes, inference, and training including custom model inference, training/fine-tuning, audio processing pipelines, and web UIs for experiments and dashboards.

Who it’s for: AI teams and developers building, deploying, and scaling AI models and applications who need scalable GPU compute, secure execution environments, and easy integration with existing cloud accounts and CI/CD pipelines.

Hiring and active product updates; pricing page with multiple GPU instances; customer testimonials and