⬇ Node Agent — Stable Release

Install the GridShare Node Agent

One command installs everything — Docker, NVIDIA Container Toolkit, and the agent. Takes 5 minutes on any Linux machine or Windows PC.

5 min

Typical install time

Command to install

Config files to edit

24/7

Auto-restart on crash

🐧 Ubuntu / Debian Linux

Tested on Ubuntu 20.04, 22.04, 24.04. Installs Docker, NVIDIA Container Toolkit, and the node agent automatically.

Requirements

NVIDIA GPU (RTX/GTX/Quadro) — CUDA required
Ubuntu 20.04+ or Debian 11+
NVIDIA drivers 525+ (installer will check)
50+ Mbps internet connection
Sudo access
AMD ROCm GPU? Use the

Step 1 — Run the installer

curl -fsSL https://gridshare.in/dl/install.sh | sudo bash

Step 2 — Register your node

gridshare register

Step 3 — Start earning

gridshare start

⬇ Download install.sh Full Linux Docs →

🔴

AMD ROCm Beta — Available Now

RX 6000 / RX 7000 series · Ubuntu 22.04 required · Earn ₹14–₹32/hr

🔴 AMD Radeon GPU (ROCm 6.1)

For AMD RX 6700 XT, RX 6800 XT, RX 6900 XT, RX 7800 XT, RX 7900 XTX. Ubuntu 22.04 LTS only. Installs ROCm 6.1, Docker, and the GridShare AMD agent automatically.

Requirements

RX 6000/7000 series (RDNA2/3) → ROCm 6.1, best performance
RX 5000 series (RDNA1) → ROCm 5.7, auto-detected by installer
RX 400/500/Vega/Radeon VII (GCN) → ROCm 5.7, auto-detected
Ubuntu 22.04 LTS (recommended) or Ubuntu 20.04 (ROCm 5.7 path)
16+ GB system RAM · 50+ Mbps internet · sudo/root access
Windows NOT supported for AMD ROCm — AMD limitation, use Linux

Step 1 — Run the AMD installer (one command)

curl -fsSL https://gridshare.in/dl/install-amd.sh | sudo bash

The installer auto-detects your AMD GPU, installs ROCm 6.1, installs PyTorch with ROCm support, registers your node, and sets up the systemd service. Takes 10–15 minutes.

Step 2 — Verify ROCm sees your GPU

rocminfo | grep "Marketing Name"

Step 3 — Check your node is live

systemctl status gridshare-node

💡 AMD ROCm Pricing (Beta)

AMD nodes are priced at ~72% of equivalent NVIDIA VRAM while the ROCm buyer pool grows:
• RX 7900 XTX (24 GB) → ₹32/hr (you earn ₹22.40/hr)
• RX 7900 XT / RX 6900 XT (16 GB) → ₹20–₹25/hr
• RX 6800 XT / RX 7800 XT (16 GB) → ₹18/hr
• RX 6700 XT (12 GB) → ₹14/hr

Rates increase as AMD workload demand grows. Reboot after install for kernel modules to load.

⬇ Download install-amd.sh View AMD earning rates →

🍎

Apple Silicon Beta — Live Now

M1 / M2 / M3 / M4 chips · macOS 12+ · PyTorch MPS + MLX · No Docker required · Earn ₹9–₹32/hr

🍎 Apple Silicon Mac

Native macOS agent (no Docker). Works on Mac Studio, Mac Pro, MacBook Pro. Installs PyTorch MPS, Apple MLX, HuggingFace Transformers, and the node agent — all in one command. No sudo required.

Requirements

Apple Silicon chip: M1, M2, M3, or M4 (any variant — base/Pro/Max/Ultra)
macOS 12 Monterey or newer (macOS 13+ recommended for MLX)
Python 3.10+ (installer will offer to install via Homebrew if missing)
50+ Mbps internet · Mac plugged in during rentals
Intel Macs supported at lower tier (CPU workloads only)

Step 1 — Run the macOS installer (no sudo)

curl -fsSL https://gridshare.in/dl/install-mac.sh | bash

Detects your chip (M1→M4, Pro/Max/Ultra), installs PyTorch MPS + MLX + HuggingFace, registers your node, and installs a launchd service that starts on login. Takes 5–15 minutes depending on internet speed.

Step 2 — Verify the service is running

launchctl list | grep gridshare

Step 3 — Check logs

tail -f ~/.gridshare/node.log

💡 Apple Silicon Pricing (Live Beta)

Pricing by chip — unified memory is billed as VRAM:
• M4 Ultra → ₹46/hr (you earn ₹32.20/hr)
• M3 / M2 / M1 Ultra → ₹34–₹42/hr
• M4 Max / M3 Max / M2 Max → ₹32–₹36/hr
• M4 Pro / M3 Pro / M1 Max → ₹30–₹33/hr
• M2 Pro / M1 Pro / base M-chips → ₹13–₹24/hr
• M1/M2/M3/M4 base → ₹8–₹12/hr

Killer use case: M3 Ultra with 192 GB unified memory runs 70B LLMs that no NVIDIA GPU under ₹5L can hold. Service starts on Mac login · auto-pauses when you use Mac · resumes when idle.

⬇ Download install-mac.sh Apple Silicon earnings →

🪟 Windows 10 / 11 with WSL2

GridShare runs on Windows via WSL2 (Windows Subsystem for Linux). The PowerShell installer enables WSL2 and installs everything automatically.

⬇ Download GridShare Setup (Windows)

Double-click it, then click Yes on the Windows prompt. Windows restarts once to enable WSL2, then GridShare finishes by itself — no commands. (If SmartScreen warns: More info → Run anyway.)

Requirements

Windows 10 (version 2004+) or Windows 11
NVIDIA GPU with drivers 525+
WSL2 enabled (installer does this automatically)
PowerShell 5.1+ (pre-installed on Windows 10+)
Must run PowerShell as Administrator

Step 1 — Open PowerShell as Administrator, run:

irm https://gridshare.in/dl/install.ps1 | iex

The installer will:

Enable WSL2 if not already active (restart may be required)
Install Ubuntu 22.04 in WSL2
Install Docker + the NVIDIA Container Toolkit inside WSL2
Install the GridShare node agent
Register and start your node automatically

⬇ Download install.ps1 Full Windows Docs →

🐳 Manual Docker Setup

For advanced users who already have Docker and NVIDIA Container Toolkit installed.

Prerequisites (must be installed first)

Docker Engine 24+ or Docker Desktop
NVIDIA Container Toolkit (nvidia-docker2)
NVIDIA drivers 525+

Pull and run the agent container

docker pull gridshare/node-agent:latest

docker run -d \
  --name gridshare-node \
  --gpus all \
  --restart unless-stopped \
  -e GRIDSHARE_API_KEY=gs_your_key_here \
  -v /var/run/docker.sock:/var/run/docker.sock \
  gridshare/node-agent:latest

Get your API key from the provider portal

Get API Key → Docker Docs →

After installing

📊 Provider Dashboard

See real-time earnings, GPU utilization, and job history. Set your availability schedule.

Open Dashboard →

⚡ Payout Settings

Choose daily (2% fee), weekly (1.5%), or monthly (1%) payouts to your UPI ID.

Configure Payouts →

📖 Documentation

Troubleshooting, advanced configuration, mining rig setup, and API reference.

Read Docs →

💰 Earnings

See how much your GPU earns based on model and utilization. Provider keeps 70%.

View Earnings →