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Broadcom, Arista and Vertiv target key AI data-center bottlenecks
The AI buildout is shifting investment beyond GPUs toward custom silicon, high-speed networking, and power and cooling systems that must work together.
MarketBeat Ratings says investors are already looking past NVIDIA’s latest AI earnings cycle to where AI spending goes next in the data center supply chain.
The outlet notes that hyperscaler capital expenditure updates point to continued rising spending, but that funding is not limited to GPUs, instead supporting custom chips, data center networking, and the power and cooling required to run them at scale.
Broadcom is highlighted for custom AI accelerators built to hyperscaler specifications, plus chip-level networking silicon, with management pointing to AI-related revenue scaling sharply higher over the next few years across its combined businesses.
Arista is positioned as providing the data center network fabric, while Vertiv is focused on power and cooling, and MarketBeat Ratings warns that if any layer breaks down, the overall AI buildout can slow even if the underlying chips are strong.