By Joel South
Publication Date: 2026-09-23 14:00:00
AI training clusters stall the moment data cannot move fast enough between chips, which means the real bottleneck is not silicon but the fiber, switches, and optics surrounding it. Three under-the-radar infrastructure stocks sit at that choke point, and their…
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Every GPU headline glosses over the same physics problem: A training cluster is only as fast as its slowest link. When tens of thousands of accelerators have to swap gradients in near lockstep, and when a single job now spans multiple data centers hundreds of miles apart, the choke point stops being FLOPS and starts being fiber, switches and coherent optics.
If data cannot arrive on time, expensive silicon sits idle. That is why hyperscalers are pouring capex into the network fabric, and why Cisco booked $9.3 billion of AI infrastructure orders in fiscal 2026 while calling the…
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