Miners on @green_compute_ are basically turning WASTED farm watts into enterprise AI horsepower on SN110, and getting paid for compute that enterprises actually rent. They literally stick RTX 4090s and 5090s next to biogas digesters and hydro streams instead of renting space in some overpriced city basement. The subnet checks their energy sources on chain through public buyback receipts and real time pricing data. No greenwashing, just verified electrons. Think of the incentive like a farmer's market health inspection. You can cook the food, but you only get a stall if the inspector confirms your kitchen runs on actual clean power. Validators verify the green credentials, and enterprise buyers flow to the cheapest verified compute in the subnet. More clean uptime equals more rental demand. Mining here is HARD. We're talking 24GB VRAM on RTX 4090s or 32GB VRAM Blackwell RTX 5090s with FP4 tensor cores, plus proven excess energy from biogas, solar, hydro, wind, or geothermal. This isn't a spare laptop in a closet. It's capital heavy infrastructure that needs real green watts, enterprise grade reliability, and a willingness to play landlord for the network. Picture a 5-person creative studio rendering AI video for a client pitch. They need 32GB VRAM RTX 5090s with FP4 tensor cores to hit the deadline. On Google Cloud that's a 12-month contract negotiation and a carbon report full of hot air. On Green Compute those same renders hit dedicated 5090s with per-minute billing, juiced by surplus biogas the grid didn't even want. As a builder I'd package this into white-label inference stacks for agencies who need cheap clean compute with an ESG story that actually checks out. I'd even bundle the API into client dashboards so they can ditch their cloud contracts without ditching their morals. Follow for weekly subnet breakdowns in plain english. 2/2 #tao #bittensor #sn110 #green_compute