As NVIDIA DGX Spark reaches university campuses, institutions are building on-premises AI computing environments for teaching and research.
These systems differ from a conventional computer lab. Once the number of units reaches a certain scale, installing and aligning each machine individually consumes considerable staff time — and because AI development environments carry complex dependencies, restoring them after hands-on sessions becomes a recurring burden.
EVO Cloud 5.1 now supports Arm platforms and DGX OS, with the following capabilities:
- OS Deployment Deploy the system environment to multiple units from a single console, keeping every machine identical
- OS Restore Return machines to a clean state after class, so the next session starts without rebuilding the environment
- Application Updates Update AI frameworks and development tools across all units at once
For institutions managing both Windows computer labs and AI research systems, EVO Cloud covers both platforms within one system — no separate management tool required for the new hardware.
For full specifications of Arm platform support and deployment guidance, please contact the Team SoftEx sales team.