Arista Networks Sees AI Demand Fueling 40% Growth, $9.6B in Supply Commitments

Arista Networks NYSE: ANET executives outlined continued demand tied to artificial intelligence networking, a strengthening supply position and expanding opportunities beyond its largest hyperscale customers during Citi’s Global TMT Conference. Chief Financial Officer Chantelle Breithaupt said the company had raised its revenue outlook in its latest earnings report to 40% growth, or $12.6 billion. She also addressed investor attention on product deferred revenue, which has increased as AI deployments become more complex. Product deferred revenue represents equipment that has been shipped, invoiced and paid for but remains subject to customer acceptance criteria, Breithaupt said. Such deployments can take 18 to 24 months before the company recognizes the associated revenue on its income statement. “I would keep my eye on the P&L growth, what’s happening in deferred revenue,” Breithaupt said, while cautioning against viewing the metric on a quarter-to-quarter basis. Instead, she said investors should evaluate trends over four to six quarters along with purchase commitments and remaining performance obligations. Breithaupt characterized the current AI buildout as Arista’s second major growth cycle after the cloud deployment cycle of 2019 through 2021. She said the AI cycle is now roughly two-and-a-half to three years old from a materiality standpoint, but could extend for years as networking needs expand across scale-up, scale-out and scale-across architectures, as well as AI training and inference workloads. On supply, Breithaupt said industry constraints remain, particularly around fab capacity, despite the company’s progress in securing vendor arrangements for capacity and memory through 2026 and 2027. She said Arista is still encountering shorter-term component constraints involving items such as printed circuit boards and capacitors. Arista’s purchase commitments rose to $9.6 billion at the end of the second quarter, from approximately $3.6 billion three quarters earlier. Breithaupt said the increase reflects demand the company is seeing and supports chip supply extending into the second half of next year. “We feel very good that the supply chain team learned a lot during COVID, learned a lot during the beginning of AI,” she said. AI infrastructure creates more demanding requirements than conventional cloud networking. AI traffic is highly coordinated, while reliability is especially important because current AI systems have fewer ways to work around network failures.