Beam app enables running GPU inference and training jobs on a scalable serverless infrastructure for generative AI.

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Beam is for AI developers and teams that need to run models and compute-heavy workloads without managing servers. It lets you deploy GPU-backed inference endpoints, run training and fine-tuning jobs, and scale workloads as demand changes. Endpoints can serve open models through an OpenAI-compatible API and scale down when idle. Beam also supports task queues for background and batch jobs, plus isolated sandboxes for running code and agent workloads. Developers can define workloads in Python, use persistent storage for datasets and model checkpoints, and connect training jobs to endpoints that serve the resulting models.

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