AI Training
Training runs on accelerators you can reserve.
Per-second pods for experiments, reserved GPU hardware for sustained training, and object storage for datasets and checkpoints.
The problem
What gets in the way
- Experiments are bursty
- Sustained training needs reserved capacity
- Datasets are large
The approach
How ScodyX handles it
Two commercial shapes
Per-second pods for experimentation, reserved hardware once utilisation is constant.
Data next to compute
Object storage and persistent volumes keep datasets and checkpoints close to the accelerator.
Getting started
Your path
- 01
Tell us the accelerator and duration
- 02
Prototype on pods
- 03
Reserve hardware for long runs
Build it on ScodyX Cloud
Create an account, configure what you need and watch it provision. No sales call required for anything with a published price.