Use when running, debugging, verifying, or delivering a deep-learning experiment on an owned or rented GPU, especially AutoDL or a remote SSH host; also use for Windows + Clash/Mihomo high-port SSH banner timeouts, fake-IP, or TUN routing interference. Covers launch, checkpoint/resume, detached monitoring…
Inspect, select, rent, and observe AutoDL compute for a concrete research workload. Use when Codex must decide between local, existing, Pro, or Enterprise Elastic GPUs; validate disk, network, persistence, and runtime fit; or operate an approved AutoDL run through the API and SSH.
Use AutoDL safely through its official developer APIs and documentation. Trigger for AutoDL balance, Container Instance Pro, elastic deployment, images, GPU stock, NFS, duration packages, WeChat notifications, container metrics, billing, storage, data retention, SSH/JupyterLab/VSCode, CUDA environments…