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 Codex and other agents to discover live AutoDL GPU stock, produce cost- and time-optimized rental plans with human review, and manage approved Elastic/Pro deployments through the official API.
Enables AI agents and MCP clients to manage AutoDL GPU instances programmatically, including creating, listing, powering on/off, executing commands, transferring files, and enforcing automatic shutdown.
Enables AI assistants to manage SLURM cluster jobs with safety guardrails, including file transfer, job submission, log reading, and remote command execution.
