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FluxEdge GPU Computing

Becoming a Provider with FluxCore

Install FluxCore, benchmark your GPU, join the marketplace, and earn from rentals with auto-switch mining fallback.

15 min read
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Becoming a FluxEdge Provider with FluxCore

FluxCore is the desktop application that connects your GPU hardware to the FluxEdge marketplace. By installing FluxCore, you can monetize idle GPU time by renting your machine to users who need compute for AI, rendering, and other intensive tasks. FluxCore also supports native FLUX mining and NiceHash integration as fallback income when your machine is not rented.

System Requirements

  • β€’GPU: NVIDIA GPU required (AMD support for GPU rentals is limited). Check the supported NVIDIA drivers list.
  • β€’OS: Windows, Linux, or macOS
  • β€’Drivers: NVIDIA 570 series drivers recommended. CUDA toolkit 12.8 required on Linux.
  • β€’Network: Stable internet connection with good upload/download speeds
  • β€’Windows specific: WSL (Windows Subsystem for Linux) and virtualization enabled in BIOS

Linux Installation

  1. 1

    Verify NVIDIA driver compatibility

    Check the FluxCore Supported NVIDIA Drivers page. Install the recommended 570 series driver.

  2. 2

    Install CUDA toolkits

    Install both cuda-toolkit-12-8 AND nvidia-cuda-toolkit packages BEFORE installing FluxCore.

  3. 3

    Run the installer

    Execute the FluxCore setup script and follow the prompts.

  4. 4

    Install prerequisites

    Select option 1 to install prerequisites when prompted. Enter your sudo password.

FluxCore Linux installation

# Install CUDA prerequisites first
sudo apt install -y cuda-toolkit-12-8 nvidia-cuda-toolkit

# Run the FluxCore installer
bash -i <(curl -s https://download.fluxcore.ai/setup.sh)

Windows Installation

  1. 1

    Enable virtualization

    Enter BIOS and enable Intel VT-x or AMD-V virtualization. This is required for WSL.

  2. 2

    Download FluxCore

    Download the Windows installer from the FluxCore website.

  3. 3

    Run the installer

    FluxCore will auto-install WSL, CUDA, and TensorFlow dependencies as needed.

  4. 4

    Save your credentials

    During "Register Machine," download the Machine ID and Password file. This enables remote management.

Joining the FluxEdge Marketplace

After installation, you need to join a Kubernetes cluster to make your machine available for rent on FluxEdge.

  1. 1

    Install the Service Module

    Navigate to Account > Modules in FluxCore, or use the menu bar shortcut.

  2. 2

    Subscribe to service categories

    Choose which workload types to accept: AI, Rendering, Cloud Gaming, etc.

  3. 3

    Select a cluster server

    Choose an available Kubernetes cluster in your geographic region for optimal latency.

  4. 4

    Accept terms and join

    FluxCore installs Kubernetes software, joins the cluster, and your machine appears on the marketplace.

Benchmarking

FluxCore includes integrated benchmarking tools that evaluate your hardware across three dimensions: AI Training, AI Inference, and Blender Rendering. Benchmark scores directly influence your machine's pricing on the marketplace β€” higher scores command higher rental rates.

  • β€’Benchmark results are publicly visible on the FluxCore Leaderboard (leaderboard.fluxcore.ai)
  • β€’History view shows date, score, duration, and hardware used for each benchmark
  • β€’Compare your scores against network averages and top performers
  • β€’Run benchmarks periodically to keep your listing competitive

Auto-Switch: Mining ↔ Rentals

The Auto-Switch feature maximizes your earnings by seamlessly transitioning between PoW mining and FluxEdge lease mode.

  • β€’When a rental starts, mining operations and overclocking (OC) profiles stop automatically
  • β€’When a rental ends, mining resumes with your default configuration and OC profile
  • β€’Ensures zero idle time between activities
  • β€’NiceHash integration is available as an additional mining fallback during idle periods

Provider Controls

FeatureDescription
Availability WindowsSet specific hours when your machine can be rented
Resource AllocationChoose which GPUs and how much compute to offer
PricingSet competitive rates or use recommended marketplace pricing
Smart SchedulingAutomated availability based on usage patterns
Performance MonitoringTrack GPU temperature, utilization, power consumption
Bandwidth ControlManage network usage for rental workloads
Multi-GPU SupportOffer multiple GPUs on a single machine
Emergency StopInstantly stop all rentals and reclaim full hardware control

Set your availability windows to times when you are not using your machine. This maximizes rental income while keeping your GPU available for personal use during work hours.