Is the priority legitimate?
Dr. Danish Faruqui, CEO of Fab Economics, a US-based AI {hardware} and datacenter advisory, mentioned the chance was actual.
“The skepticism that Nvidia could prioritize its personal {hardware} in future software program updates, doubtlessly delaying or under-optimizing help for rivals, is a possible final result,” he mentioned. As the first developer, Nvidia now controls Slurm’s official growth roadmap and code evaluation course of, Faruqui mentioned, “which may affect how shortly competing chips are built-in on new growth or steady enchancment components.”
Proudly owning the management airplane alongside GPUs and networking infrastructure comparable to InfiniBand, he added, permits Nvidia to create a tightly vertically built-in stack that may result in what he described as “shallow moats, the place superior options are solely obtainable or performant on Nvidia {hardware}.”
One concrete check of that, business observers say, will probably be how shortly Nvidia integrates help for AMD’s next-generation chips into Slurm’s codebase in contrast with how shortly it integrates its personal forthcoming {hardware} and networking applied sciences, comparable to InfiniBand.
Does the Vivid Computing precedent maintain?
Analysts level to Nvidia’s 2022 acquisition of Vivid Computing as a reference level, saying the software program grew to become optimized for Nvidia chips in ways in which deprived customers of competing {hardware}. Nvidia disputed that characterization, saying Vivid Computing helps “practically any CPU or GPU-accelerated cluster.”
Rawat mentioned the comparability was instructive however imperfect. “Nvidia’s acquisition of Vivid Computing highlights its choice for vertical integration, embedding Vivid tightly into DGX and AI Manufacturing unit stacks moderately than sustaining a impartial, multi-vendor orchestration position,” he mentioned. “This displays a broader strategic sample — Nvidia seeks to regulate the full-stack AI infrastructure expertise.”
