HTTP 402 isn't an error code anymore, it's the new standard for AI compute.
xGPU delivers on-chain inference, decentralized training, and coffee-level micropayments.
There will always be more AI engineers than H100 racks. That imbalance is permanent.
The winning abstraction is not “owning more hardware” but turning hardware into a liquid commodity that anyone can tap on-demand without permissions or contracts.
Long-term vision is simple: compute should be a neutral primitive like block space or bandwidth.
Something you can request, pay, and consume without opening a ticket or disclosing your biography.
The less ceremony, the more usable the infrastructure becomes.
Pricing: metered by the minute with price lock and expiry. Know the rate before you pay.
Provisioning target 10–60s per image (PyTorch/CUDA/custom). Start training or inference fast.
Why 402: machine-to-machine payments at the HTTP layer. Low friction. Idempotent by design.
Hardware at launch: H100 (80GB) and RTX 4090 (24GB). Regions EU/US. Live badges: IN_STOCK or QUEUE.