We’re excited to introduce a brand-new way to boost your revenue with EarnApp: CPU/GPU Resource Sharing.
In addition to earning money by sharing your unused internet bandwidth, you can now generate extra passive income by sharing a small portion of your computer’s unused processing power.
How It Works
When enabled, EarnApp uses your idle hardware (your CPU and GPU) to run small, background AI tasks for Bright Data customers, such as data labeling and classification. These tasks run on open-source AI models. You get paid for the resources you share directly through the EarnApp rewards program, just like you do for bandwidth.
Your CPU and GPU are never used for any purpose other than these AI tasks. EarnApp never uses your device for cryptocurrency mining.
Is CPU/GPU Sharing On by Default?
It depends on when you started using EarnApp.
New users: During setup, you’ll see a consent screen explaining how EarnApp uses your device’s resources, including your CPU and GPU. CPU/GPU sharing is enabled when you accept it.
Existing users: When you update to the latest version, you’ll see a notice in the app letting you know that CPU/GPU sharing is on.
Either way, you can turn CPU/GPU sharing off at any time (see “You Are Always in Control” below).
Your Data and Privacy
CPU/GPU sharing does not access your personal files. The AI tasks run on data provided by Bright Data customers, not on your data.
To make sure your device can run these tasks, EarnApp checks your hardware specifications for CPU/GPU sharing, specifically your GPU model and available memory.
This hardware information is stored only while CPU/GPU sharing is on. It is deleted when you turn CPU/GPU sharing off or uninstall EarnApp.
Track Your Earnings
It’s easy to see exactly how much extra cash your hardware is generating for you. You can track your real-time CPU and GPU sharing earnings at any time by visiting your dedicated dashboard:
View your CPU/GPU Earnings Dashboard
In addition to earning money by sharing your unused internet bandwidth, you can now generate extra passive income by sharing a small portion of your computer’s unused processing power.
How It Works
When enabled, EarnApp uses your idle hardware (your CPU and GPU) to run small, background AI tasks for Bright Data customers, such as data labeling and classification. These tasks run on open-source AI models. You get paid for the resources you share directly through the EarnApp rewards program, just like you do for bandwidth.
Your CPU and GPU are never used for any purpose other than these AI tasks. EarnApp never uses your device for cryptocurrency mining.
Is CPU/GPU Sharing On by Default?
It depends on when you started using EarnApp.
New users: During setup, you’ll see a consent screen explaining how EarnApp uses your device’s resources, including your CPU and GPU. CPU/GPU sharing is enabled when you accept it.
Existing users: When you update to the latest version, you’ll see a notice in the app letting you know that CPU/GPU sharing is on.
Either way, you can turn CPU/GPU sharing off at any time (see “You Are Always in Control” below).
Your Data and Privacy
CPU/GPU sharing does not access your personal files. The AI tasks run on data provided by Bright Data customers, not on your data.
To make sure your device can run these tasks, EarnApp checks your hardware specifications for CPU/GPU sharing, specifically your GPU model and available memory.
This hardware information is stored only while CPU/GPU sharing is on. It is deleted when you turn CPU/GPU sharing off or uninstall EarnApp.
Track Your Earnings
It’s easy to see exactly how much extra cash your hardware is generating for you. You can track your real-time CPU and GPU sharing earnings at any time by visiting your dedicated dashboard:
View your CPU/GPU Earnings Dashboard
Safe and Lightweight
We built this feature to be completely invisible to your daily workflow and entirely respectful of your system.
We built this feature to be completely invisible to your daily workflow and entirely respectful of your system.
- No System Interference: The feature runs self-contained. It does not modify your Windows Registry, it doesn’t alter your graphics card settings, and it never installs heavy, deep-system drivers.
- Tidy Storage: Any temporary files needed to process the background tasks are kept strictly contained within a single, standard folder on your PC. It will never spread files across your operating system.
- Clean Uninstallation: If you decide to uninstall EarnApp, there is no leftover junk. The app simply deletes its contained folder, leaving no hidden files or orphaned drivers behind on your machine.
You Are Always in Control
Your participation is optional, and you are in complete control of your device.
If you prefer to turn it off, you can opt out at any time:
Your participation is optional, and you are in complete control of your device.
If you prefer to turn it off, you can opt out at any time:
- Open EarnApp and navigate to Passive Income → CPU/GPU Sharing.
- Toggle the switch to Off.
Once toggled off, the background processing stops instantly. Turning this feature off will not affect your regular bandwidth sharing, which will continue to run normally. If you ever change your mind, you can easily turn it back on from the same menu.
Hardware Requirements
To make sure CPU/GPU sharing runs smoothly without slowing down your computer, your device must meet minimum hardware requirements
Hardware Requirements
To make sure CPU/GPU sharing runs smoothly without slowing down your computer, your device must meet minimum hardware requirements
| Tier | What it runs | Requirements |
| CPU | Basic AI inference & small GenAI models | Any modern CPU, no GPU needed |
| GPU - Standard | AI inference | Dedicated GPU, VRAM varies by model (NVIDIA recommended) |
| GPU - Training | AI model training | NVIDIA GPU, 4GB+ VRAM |
| GPU - Advanced GenAI | Large GenAI models | NVIDIA GPU, 12GB+ VRAM, latest drivers |
If your device doesn’t meet them, CPU/GPU sharing won’t run on it, and you won’t see CPU/GPU earnings on your dashboard.
You’ll still earn through standard bandwidth sharing!