Nvidia Reports Record Quarterly Revenue Amidst AI Spending Surge
The chipmaker's latest results highlight continued massive investment in artificial intelligence infrastructure by major tech companies.
Nvidia has announced another record-breaking quarter, with revenue reaching $96.2 billion, a 106 percent increase from the previous year, signaling sustained growth in the artificial intelligence sector. The company's data-center business, crucial for AI development, saw revenue climb 117 percent to $89 billion.
Looking ahead, Nvidia forecasts revenue of approximately $108 billion for its fiscal third quarter. This performance underscores the ongoing substantial spending by major technology firms on AI infrastructure, including data centers required to train and operate advanced AI models. Companies such as Amazon, Microsoft, Alphabet, Meta, and Oracle are collectively expected to invest over $700 billion in capital expenditures this year, with a significant portion dedicated to AI.
Nvidia CEO Jensen Huang stated that AI has reached an "inflection point," moving beyond experimental phases to generate tangible, revenue-producing work. He emphasized, "Now, compute is revenue." This sentiment is echoed by Nvidia's major clients.
Alphabet, Google's parent company, recently increased its technology infrastructure spending to over $200 billion for the current year. Its Google Cloud division reported an 82 percent revenue jump to $24.8 billion in its latest quarter, fueled by demand for AI infrastructure and enterprise AI services.
Microsoft's capital spending has also surged to expand its Azure AI capacity, with reported quarterly capital expenditures reaching $35 billion. Amazon is making a substantial investment, anticipating approximately $200 billion in infrastructure spending for 2026, with a considerable allocation for AI and Amazon Web Services (AWS).
This expansion includes a partnership where AWS plans to deploy an additional two million Nvidia GPUs across its data centers by 2028, following an earlier agreement for over one million GPUs. Notably, Amazon is also developing its own AI chips, such as its Trainium processors, to diversify its reliance on Nvidia.
Meta has committed over $130 billion to AI-related investments, with its capital expenditures potentially nearing $170 billion next year.
Oracle's financial performance also reflects the AI buildout, with its remaining performance obligations soaring to $638 billion, largely due to significant AI contracts. Some of these contracts involve customer prepayments for GPUs or the provision of GPUs by customers themselves, which can reduce Oracle's direct capital outlay for AI data centers.
Nvidia is also facilitating this infrastructure race through financing partnerships. The company has established collaborations with firms including Apollo, BlackRock, and Goldman Sachs to create independent AI-compute financing platforms aimed at mobilizing over $500 billion in third-party capital.
The immense scale of this infrastructure development raises questions about the sustainability of demand and the ultimate source of the vast capital being deployed. Scrutiny is increasing on circular financing arrangements within the AI ecosystem, where companies invest in or finance other participants, potentially obscuring the extent of organic demand.
Nvidia reported its exposure under land, power, and shell guarantee agreements to be $3.5 billion, a relatively modest figure compared to its quarterly revenue. Despite these broader economic considerations, demand for Nvidia's products remains exceptionally high. The company's shares rose more than 7 percent following the earnings report, with numerous brokerages increasing their price targets.