Skip to main content

Overview

FluxEdge is a decentralized marketplace for GPU compute resources, connecting users who need computational power with providers offering underutilized hardware. Built on the Flux Web3 infrastructure, FluxEdge provides access to enterprise-grade GPUs at competitive, pay-as-you-go pricing for AI, machine learning, rendering, and other intensive workloads.

What is FluxEdge?​

FluxEdge operates as a global GPU marketplace where individuals and organizations can rent high-performance NVIDIA GPUs (including H100, A100, and other enterprise-grade cards) on-demand. Unlike centralized cloud providers, FluxEdge leverages a distributed network of GPU providers, making compute resources more accessible and cost-effective.

The platform is powered by Proof-of-Useful-Work, which maximizes GPU utilization by putting idle computing power to productive use. This approach reduces e-waste and ensures efficient resource allocation across the network.

Key Features​

Scalability​

  • Automated Deployment: Kubernetes-based orchestration for containerized applications
  • Dynamic Scaling: Seamlessly scale clusters as demand grows
  • Global Distribution: Access GPUs from providers worldwide

Performance​

  • Enterprise-Grade Hardware: NVIDIA H100, A100, and other high-performance GPUs
  • Optimized Resource Usage: Kubernetes integration ensures efficient workload distribution
  • Low Latency: Deploy close to your users with globally distributed infrastructure

Security​

  • Access Controls: Fine-grained permissions and authentication
  • Encryption: Data encryption in transit and at rest
  • Continuous Monitoring: Real-time health checks and security auditing

Flexibility​

  • Multiple Service Types: Choose from Kubernetes clusters, on-demand cloud, or compute services
  • Docker Support: Deploy any containerized workload
  • Integration Tools: Works with PyTorch, Apache Spark, Kubeflow, and popular ML frameworks

Cost Efficiency​

  • Pay-As-You-Go: Only pay for what you use with no upfront commitments
  • Competitive Pricing: Significantly lower costs compared to traditional cloud GPU rentals
  • No Hidden Fees: Transparent pricing with no egress charges

Current Network Capacity​

As of 2025, FluxEdge provides access to:

  • 15,157 Total GPUs available across the network
  • 6,722 GB Storage capacity
  • Global Provider Network spanning multiple continents

Service Categories​

FluxEdge offers three primary service models to meet different computational needs:

1. Kubernetes Clusters​

Fully managed Kubernetes infrastructure for containerized applications with automated deployment, scaling, and monitoring. Ideal for complex, multi-container workloads requiring orchestration.

2. On-Demand Cloud​

Flexible, pay-as-you-go computing resources that scale based on demand. Perfect for variable workloads, development environments, and testing scenarios.

3. Compute Services​

Direct GPU rental for specific computational tasks such as AI model training, machine learning inference, 3D rendering, video processing, and scientific computing.

Use Cases​

FluxEdge is designed for a wide range of computational workloads:

  • AI & Machine Learning: Train and deploy AI models with access to powerful GPUs
  • Data Science: Run large-scale data analytics and processing pipelines
  • 3D Rendering: Render complex scenes for animation, VFX, and architectural visualization
  • Scientific Computing: Perform simulations, molecular modeling, and research computations
  • Video Processing: Encode, transcode, and process video content at scale
  • Blockchain & Crypto: Run validators, mine, or process blockchain transactions

Who Should Use FluxEdge?​

This documentation is intended for:

  • Developers & Engineers deploying AI/ML workloads
  • Data Scientists requiring GPU compute for model training
  • Researchers running computational simulations
  • Businesses seeking cost-effective GPU infrastructure
  • Content Creators needing rendering capabilities

Prerequisites: Familiarity with Docker containerization, basic programming concepts, and command-line interfaces is recommended.

Getting Started​

Ready to deploy on FluxEdge? Start with our guides:

  • Account Setup: Create your FluxEdge account and configure billing
  • First Deployment: Deploy your first GPU workload
  • Kubernetes Guide: Set up and manage Kubernetes clusters
  • API Documentation: Integrate FluxEdge into your workflows

Learn More​

  • FluxEdge Platform: fluxedge.ai
  • Pricing: View current GPU pricing and availability
  • Support: Get help from our community and support team