Arista Networks, Inc.

Training a large language model requires not just thousands of GPUs but a low-latency, high-bandwidth network that connects every GPU in the cluster so they can share gradients efficiently. NVIDIA's H100 and B200 GPUs have far outpaced the networking available a few years ago, and the bottleneck has shifted to the fabric that connects them.

Arista's switches using 400G and 800G Ethernet are one of the dominant solutions competing to solve that bottleneck. As hyperscalers like Microsoft, Google, and Meta build out AI infrastructure, every GPU they deploy drives demand for Arista's switching capacity. That linkage is why ANET's revenue has been re-accelerating alongside NVDA's.

ANET has a strong earnings beat history — the company's visibility into hyperscaler order books gives management confidence in its guidance, and the stock has rewarded that consistency with a premium multiple. Traders who watch the Nasdaq for AI-infrastructure leadership know ANET as a bellwether: if Arista misses, it signals a networking bottleneck or hyperscaler CapEx slowdown that can ripple through the entire AI trade.

For swing traders, ANET is most actionable at earnings inflection points. A strong quarter with raised guidance in a choppy macro environment is a classic gap-and-hold setup — the market is relieved that AI capex is intact and tends to buy the move. Conversely, guidance conservatism implying a hyperscaler CapEx pause can create a multi-week downtrend.