The GamerHash AI network is built from contributors’ machines, and you can watch its capacity in real time. The public dashboard at gamerhash.com/en/stats shows what’s connected to the network right now.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.
What’s tracked
| Metric | What it measures |
|---|---|
| Devices | Total machines connected to the network and running the AI App |
| GPUs | Aggregate count of GPUs contributed across all devices |
| GPU VRAM | Total video memory available for AI inference workloads |
| CPUs | Aggregate CPU count across the network |
| CPU cores | Total cores available for CPU-side workloads |
| RAM | Total system memory across all connected machines |
| Storage | Total disk capacity contributed by the network |
- Last 24h — what was active in the past day
- Overall — cumulative state of the network
Why this matters
For contributors, the dashboard gives a feel for how big the network is and how busy it tends to be — a larger network means more workloads in the queue to route. For AI builders and partners, it’s an at-a-glance view of available compute capacity before integrating with the platform. The numbers are pulled live, so don’t expect them to match a snapshot you saw an hour ago. Treat them as a directional read, not a service-level commitment — the queue and machine mix move minute to minute.Open the dashboard
Live network stats
Real-time numbers from the public dashboard — devices, GPUs, VRAM, CPU, RAM, storage.
Hardware requirements
What it takes to add your GPU to the network.