GPU Computing
Accelerated compute for work that is not machine learning.
Rendering, simulation, transcoding and scientific workloads on the same per-second GPU platform.
The problem
What gets in the way
- Workloads are batch-shaped
- Buying hardware is not justified
- Jobs need to burst
The approach
How ScodyX handles it
Batch-friendly billing
Per-second metering suits jobs that run for minutes, not months.
Bring your toolchain
Container-native, so your renderer or solver runs as packaged.
Getting started
Your path
- 01
Package the job as a container
- 02
Submit to a GPU pod
- 03
Collect output from object storage
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.