GPU Marketplace

Hyperbolic's GPU Marketplace is an on-demand platform that aggregates global GPU compute resources.

By linking developers, researchers, and startups with a distributed network of GPU suppliers—including data centers, mining farms, and individual machines—the marketplace enables cost-effective compute provisioning. This model significantly reduces dependence on traditional cloud providers like AWS, GCP, and Azure, offering a more economically viable alternative for AI workloads.

By leveraging Hyper-dOS, Hyperbolic’s distributed Operating System, the marketplace optimizes GPU performance across diverse NVIDIA hardware configurations—ensuring maximum efficiency and compatibility. (Future support: AMD & Intel hardware.)

GPU Rental Walkthrough

For Developers

• Affordable: Get Nvidia GPU rentals at $0.35/hr for RTX 4090s, $1.40/hr for H100 SXM, and $2.65/hr for H200s—up to 75% less than traditional providers
• Ease of Use: Rent in under a minute and manage instances seamlessly through a simple, user-friendly interface—no human interaction required
• On-Demand Flexibility: Scale resources up or down without long-term commitments

For Suppliers

• Competitive Earnings: Monetize idle GPUs by setting your own competitive prices
• Easy Integration: Join the network in less than 5 minutes with minimal technical requirements
• Transparent Operations: Gain insights into market demand and pricing trends with the upcoming order book system (coming soon)

Features

• Affordable GPU Access
  From $0.20/GPU-hr for training & inference
• High-Performance Hardware
  H100 SXM, RTX 3070, H200, RTX 4090, RTX 3080
• Flexible Payments
  Credit card (Stripe) or crypto (USDC, USDT, DAI on Base)
• Secure SSH Access
  SSH key-pair authentication (public key uploaded; private key stays local)
• Smart Billing Notifications
  Alerts within 3 minutes if an instance fails—no charges for failures
• Agent-Compatible API
  Automate provisioning via your AI agents or scripts
• Pre-Built Docker Images
  Skip setup and launch GPU workloads instantly with ready-to-use images for PyTorch, TensorFlow, and CUDA—preconfigured for deep learning, model training, and inference:
• Custom Port Configuration:
  Expose any ports your app requires—run inference servers, custom APIs, full-stack apps, or data platforms with direct instance communication, custom port ranges, and full support for external network access without proxies or extra configuration.