Does open-source GPU scheduling make a cluster hardware-independent?
No. Open source makes code available under its license, but deployment still depends on the cluster’s hardware, drivers, orchestration and operational setup. NVIDIA’s vendor integration and performance promises are not independently tested in this report, so compatibility and outcomes need verification in the intended environment.
Answered in
NVIDIA Opens Run:ai—and Moves the AI Fight Into the SchedulerRun:ai’s open-source release puts GPU allocation tools in public view, while hardware independence and operational results remain to be tested.
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