Deskside AI systems built on NVIDIA’s GB10 have one job, and they do it well: put 128GB of unified memory and a petaflop of compute on a desk close enough to the person using it that iteration is instant. What they don’t have is a connection to the storage an organization already runs. Every DGX Spark and OEM variant ships with a single short M.2 slot, which caps local capacity around 4TB and puts every dataset, model, and checkpoint on that mac…
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