Simple Process
How Orbit Works
Three simple steps to GPU compute power for your AI workflows.
Step 01
Choose GPU Config
Select your GPU type and ML framework preset. No subscriptions, no commitments. Your credits never expire.
Step 02
Deploy Environment
Use our AI workflow assistant to spin up a GPU instance with PyTorch, TensorFlow, or your custom stack.
Step 03
Train & Iterate
Connect your notebook, launch training runs, and iterate on experiments — all in the cloud.
Credit System
Simple, Transparent
Credits are consumed based on GPU hours used during training and compute. When you're done, power down your instance and stop the meter.
1 Credit = €1 = 1 GPU Hour*
*Rates may vary based on GPU type and configuration.
Instant Deploy
GPU environment ready in under 30 seconds
Bank-Grade Security
E2E encryption on all data & models
Pay Per Use
Only pay when GPU instance is active
Data Experts
Hire ML engineers and data scientists on demand