AI Companies
Accelerated compute billed by the second, not the month.
GPU pods that scale to zero, persistent volumes so weights stay warm, and reserved accelerators when the workload becomes constant.
The problem
What gets in the way
- Idle GPUs are burning budget
- Cold starts re-download model weights
- Capacity is unpredictable
The approach
How ScodyX handles it
Scale to zero
Pods stop billing when there is no work, and start again on demand.
Weights stay put
Persistent volumes keep model artefacts next to the accelerator.
Reserve when it makes sense
Move from per-second pods to reserved hardware when utilisation justifies it.
Getting started
Your path
- 01
Tell us your accelerator and utilisation profile
- 02
Start on per-second pods
- 03
Reserve capacity as usage stabilises
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.