supercomputer

Enables an AI agent to check live GPU prices, get a cost quote, rent a per-minute GPU instance, upload code and data, run jobs in the background, tail logs, download results and destroy the instance to stop billing. Includes guardrail limits on spend, hours and idle time, safe file transfer, and access to an OpenAI-compatible model API for inference without renting a GPU.

Enables AI agents to work with a GPU cloud: check live GPU prices, launch GPUs on ready images, run commands as jobs that stop billing when the command exits, schedule runs, move files, and check spend. Access is scoped to one signed-in environment and capped by its monthly budget.

Enables AI agents to manage GPU training end-to-end through natural language, including submitting and scheduling jobs, monitoring logs and metrics, diagnosing failures, comparing runs, and recommending the best checkpoints.

Enables AI agents to search live GPU offers, estimate model VRAM, rent and monitor cloud GPU servers with ready templates, read logs, and stop or destroy them when done. Browsing and VRAM estimates work without an API key, while server management requires one.