Hardware requirements

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.

The AI App has two distinct use cases, and they have different hardware bars:

• AI READY — run AI models locally (chat, image, video, voice) on your own GPU.
• AI OPTIMAL — also accept network earning workloads to your machine and get paid in GUSD.

Check your exact rig against both badges in the official GamerHash profit calculator before you buy.

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AI READY — run models locally

Lower bar. If you can run modern AAA games at 1080p, you can run local AI.

• OS — 10 (22H2+) or 11
• GPU — NVIDIA RTX with 8 GB+ VRAM (RTX 3060, 4060, 5060 and up)
• RAM — 16 GB
• CPU — modern x86-64 (Intel 8th gen / AMD Ryzen 2000 or newer)
• Driver — recent NVIDIA studio or game-ready driver
• Disk — ~30 GB free for downloaded models

The more VRAM you have, the bigger the local model you can load: The Model Center inside the app shows live fit per model on your specific hardware.

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AI OPTIMAL — earn from GPU sharing

Higher bar. Earning starts at 16 GB VRAM — anything below that is AI READY only. Everything in AI READY, plus:

• GPU — NVIDIA RTX with 16 GB+ VRAM (RTX 4060 Ti 16 GB, RTX 4070 Ti Super, RTX 4080 / 5080, RTX 4090 / 5090, Blackwell pro)
• RAM — 32 GB minimum, more is better. Concurrent workloads benefit from larger system memory.
• Network — stable broadband (50 Mbps down comfortable). Earning workloads stream small payloads — consistency matters more than peak speed.
• Uptime — leave the machine on. Most pay comes from being online when a workload arrives.

The more VRAM, the higher-paying workload tiers you qualify for: The profit calculator gives you a per-GPU yield estimate based on current network demand.

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What’s not supported

• AMD GPUs — NVIDIA only in the AI App today.
• macOS / Linux — AI App is Windows-only. The Mobile app on iOS/Android handles account management, not local AI.
• iGPUs — integrated graphics don’t have enough VRAM.
• Multi-GPU per machine — the AI App uses a single GPU per process. Multi-machine is fine; GHXP and earnings consolidate per account.

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Upgrading the GPU

Swap GPUs without recreating your account. On next start, the AI App detects the new card and re-runs its benchmark — typically a couple of minutes. GHXP, account level, and earning history all carry over. Workloads matched to the new card take effect from the next dispatch.

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Tips before you buy

• Run your exact rig through the profit calculator before spending. Both badges (AI READY / AI OPTIMAL) are checked there.
• For AI OPTIMAL, prioritize VRAM over clocks. 16 GB is the entry threshold — a 16 GB 4060 Ti qualifies for the earning pool, an 8 GB 4070 doesn’t.
• Used 30-series cards can be cheap entry to AI READY (3060/3070 at 8–12 GB). For AI OPTIMAL on used hardware, only the RTX 3090 (24 GB) clears the bar — and check warranty, sustained load is harder on cards than gaming.
• Check live network demand at network stats. A bigger GPU only pays more if there are workloads in the queue for it.

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