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Tarun Raisoni on Bloomberg | AI Data Centers: Why Infrastructure Is the Real Bottleneck
AI at scale starts with infrastructure, not just models.
In this Bloomberg segment, Gruve CEO Tarun Raisoni explains why “AI requires a lot of infrastructure. The underlying infrastructure is energy, data centers, lot of compute. And the compute requirements are 10, 100, 1,000x bigger,” and what that means for where and how we build the next wave of inference data centers near tier one and tier two cities, from grid to last mile and edge.
Production AI is decided by power, placement, and density long before you pick a model.
As Tarun Raisoni told Bloomberg, “AI requires a lot of infrastructure. The underlying infrastructure is energy, data centers, lot of compute. And the compute requirements are 10, 100, 1,000x bigger.”
If you’re deciding where to build the next wave of inference data centers near tier one and tier two cities, this is the design space that matters, from grid to last mile and edge. Watch the Bloomberg clip to see how Gruve thinks about AI-ready infrastructure.
