A shared GPU network for image and video generation. Users create with credits; providers connect local GPUs and earn when renders complete.
SH4RE should be explained as a real media compute loop, not just a token story. The network starts with a router, GPU worker registry, model capability map, and render receipts.
The first serious version needs one reliable middle layer: it authenticates users and workers, keeps the render queue, tracks online GPU capacity, selects a worker, and returns media results.
SH4RE starts with image and video generation. A worker publishes GPU model, VRAM, supported pipelines, uptime, and accepted price. The router sends jobs only when that machine is online.
In production, a provider runs a small SH4RE worker client next to ComfyUI or another media runtime. The client keeps an outbound WebSocket open, receives signed jobs, calls the local model, and uploads the result back to the router.
The token should not be the product. The product is shared compute. $f0ur can become the coordination layer for worker incentives, settlement boosts, launch liquidity, and public receipts once the network proves demand.
The operational console lives on its own page. Use it to submit image/video jobs, configure the upstream generation API, simulate routed GPU workers, and preview provider payouts.