hivenet run --gpu a100 --image pytorch/pytorch:latest --volume ./my_model:/workspace In 11 seconds, she had a shell. No SSH key management. No waiting for “provisioning.” She was inside the container. nvidia-smi showed a glorious, cold A100 staring back at her.
But then a warning popped up: “Provider has a 4-hour uptime guarantee. Session is ephemeral.” Panic. “What if Iceland goes offline?” She read the rest of the tutorial: State management. She learned to use Hivenet’s native volume snapshots. Every 10 minutes, her checkpoints automatically streamed to a decentralized IPFS-backed store. hivenet gpu cloud tutorial
She typed hivenet gpu list . A table appeared. It wasn’t a massive AWS data center. It was a list of providers —people with idle A100s, 4090s, and even old V100s, renting out their spare cycles for Hivenet tokens. nvidia-smi showed a glorious, cold A100 staring back at her
The tutorial said: “One command to rule them all.” She typed: “What if Iceland goes offline