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DeployGPU

DeployGPU lets you browse, compare, and deploy GPU instances — all from one dashboard with unified billing and transparent pricing.

Quick Start

Go from sign-up to a running GPU in under 5 minutes.

Browse GPUs

Compare pricing in the marketplace.

Add Credits

Fund your account and start deploying.

Templates

Pre-configured environments for ML, Jupyter, and more.

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What you get

  • GPU marketplace — Browse available GPUs sorted by price across multiple regions worldwide.
  • One-click deploy — Select a GPU, pick a template, and launch. SSH access is ready when your instance boots.
  • Unified billing — Pay with credits. One balance, one invoice. Transparent pricing with a 10% platform fee, no hidden costs.
  • Pre-configured templates — PyTorch, TensorFlow, Jupyter, and bare CUDA environments ready to go.
  • Managed SSH keys — A default SSH key is generated for you at signup. Bring your own keys too.
  • Persistent volumes — Create and attach storage volumes that survive across deployments.

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What you’ll need

  • A modern web browser
  • An SSH client (built into macOS and Linux; use PuTTY or Windows Terminal on Windows)
  • A credit or debit card for adding credits

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Available GPUs

The marketplace includes GPUs across a wide performance range:
TierModels
Flagship AIH200, H100, GB300, B300, B200
ProfessionalA100 (80GB), L40S, L40, RTX PRO 6000, RTX 6000 Ada, A6000
Consumer/ProsumerRTX 5090, RTX 4090
LegacyV100
Availability varies by region. The marketplace shows real-time stock and pricing.

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Global regions

GPU instances are available in datacenters across:
  • North America
  • Europe
  • United Kingdom
  • Asia-Pacific
See Regions for details.

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How pricing works

All prices are per hour. The marketplace shows your total effective hourly rate — that’s the base hardware cost plus a 10% platform fee, all-in. What you see is what you pay. There are no signup fees, no minimum commitments, and no contracts.