Beam Cloud

Beam Cloud is a serverless GPU platform with a Pythonic interface for AI inference, training, sandboxes, and background jobs, billing per second and scaling to zero when idle.

Beam Cloud is a serverless platform built specifically for heavy AI workloads, from sandboxed experimentation to large-scale inference and model training. It gives developers a Pythonic interface to deploy and scale AI applications without managing infrastructure, addressing the infrastructure fatigue that comes with running GPUs yourself. The platform operates on a pure usage-based model with per-second billing. Workloads scale to zero when idle and automatically spin up resources when requests arrive, so teams pay only for the exact seconds GPUs are active. Key capabilities include serverless inference APIs deployable with a single command, task-queue management for high-volume workloads, and GPU-backed model training. Beam's runtime is open source through the beta9 project, offering ultrafast serverless GPU inference, sandboxes, and background jobs. This makes it a strong fit for developers who need massive parallel execution and cost-efficient GPU access without operating a cluster, while retaining the option to inspect and self-host the underlying engine.