> ## Documentation Index > Fetch the complete documentation index at: https://docs.gamerhash.com/llms.txt > Use this file to discover all available pages before exploring further. # GPU contributors > How to think about GPU contribution as a primary use case — beyond casual gaming. Gamers contribute incidentally. **GPU contributors run hardware specifically to participate in the network** — a machine left on for the job, rather than a gaming PC that happens to be idle. Different goals, different optimisation. ## Who this is for * People who already own RTX hardware and want to put it to work instead of leaving it idle. * Power users with 24+ GB VRAM cards, prosumer workstations, or ML rigs that sit unused outside business hours. * Small operators with 2–10 GPUs looking for stable side income. ## What makes the economics work * **Pay scales with demand for AI compute.** As API usage and partnership volume grow, so does what there is to pay out. There is no difficulty curve working against you. * **Nothing to tune.** No algorithm selection, no protocol forks to chase, no per-job configuration. The AI App handles dispatch. * **GUSD pays per workload completed** — predictable, internal, no exposure to coin-price volatility while you decide what to do with it. * **GHXP rewards consistency.** Points accrue per minute of uptime, not per unit of throughput, so a machine that stays online steadily climbs higher in each monthly season ranking. ## Optimisation playbook **Maximize uptime.** Most pay comes from being online when a workload arrives. Configure auto-start, disable sleep, monitor stability. **Pick the right cards.** 24 GB+ VRAM unlocks the highest-paying tiers (large LLMs, video gen). RTX 4090 / 5090 / Blackwell pro cards are the sweet spot for new investment. **Hold GHX for the boost.** Holding GHX raises your account level in the app, and the level is what accelerates GHXP accrual. It also unlocks the prompt booster on Text-to-Image. It's free, it stacks, and you don't lock the GHX — hold it in MetaMask or in your in-app GHX wallet and run the app. More points means a higher place in the monthly season ranking. **Run multiple machines on one account.** GHXP and earnings consolidate per account, not per machine — so several PCs build one points balance instead of several small ones. **Lock points every month.** A season runs monthly and you can commit up to 80% of the GHXP you've accumulated. Points you never lock don't place you anywhere, and every place in the ranking carries a defined GHX reward. ## The numbers conversation There is no fixed or promised rate on the earning side. Per-machine earnings depend on demand, GPU class, and how much of the time the machine is online and free. The honest framing: * A 16 GB Ada card with 64 GB of RAM sits at the entry earning tier and will earn modestly when network demand is moderate. * A 24 GB+ card draws from the full workload pool, including the top-paying tiers, and with high uptime will earn meaningfully more. * All of it scales with platform API and partnership volume — which is the variable you're betting on. The platform publishes monthly community updates on [Medium](https://medium.com/we-are-the-gamerhash) with workload volume signals. That's the right place to read the room before scaling up. ## What to watch out for * **Electricity cost.** At peak tariffs this is the difference between a margin and none. Schedule earning during off-peak hours if your tariff is time-of-use. * **Driver stability.** Long-running inference exposes driver bugs. Stick to NVIDIA Studio drivers; report crashes to the support channel. * **Heat / hardware longevity.** AI inference is GPU-intensive. Good airflow matters. Undervolting is supported and recommended for 24/7 operation. ## Related What a completed job pays, and the three ways the balance leaves your account. How points accrue, and how the monthly ranking is settled.