AI infrastructure is moving past the single accelerator.
This week, d-Matrix said it will use NVIDIA NVLink Fusion for its next-generation Raptor AI accelerators.
The point is simple: serious inference needs systems that can scale beyond one card without rebuilding the network every time.
That is why flexible GPU compute and storage matter together.
Keep your data close, add capacity when workloads grow, and avoid locking capital into hardware before demand is proven.
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Originally posted on facebook