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Manage Vast.ai cloud GPU instances and jobs via Python and CLI.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "vast-cli" yet — see the docs or source repo.
Using vast-cli, list available GPU instances priced under $0.5/hour with at least 24GB VRAM, and rank them by value.
A filtered list of matching instances with price, GPU model, VRAM, and ranking suggestions.
Generate a vast-cli command to create a Vast.ai instance with a CUDA environment for PyTorch training and mount my local code directory.
A ready-to-run launch command with a brief explanation of the key parameters.
Design a script using vast-cli and the Python API to automatically stop a Vast.ai instance after 30 minutes of idleness and log the action.
A script plan or sample code covering idle detection, instance shutdown, and logging.
Validate VAST ad tags against IAB specs and identify rule violations.
A native Python coding agent with hierarchical memory for faster assistance.
Rent and manage pay-per-use VPS instances for AI agents via MCP.
Access and manage teams, contexts, workflows, and tools in ProxVanta.
Manage Massed Compute GPU instances, VMs, and billing audits through AI.
Let AI discover and invoke KakaoCloud APIs to manage cloud resources.