2 months ago
Nvidia Corp. (NASDAQ:NVDA) just posted a quarter that would make any other chipmaker blush. On its August 26 earnings call, the company reported $96.2 billion in revenue, more than double what it made a year earlier, and said AI demand has crossed into something it calls an inflection point. But buried inside the good news sat two admissions that matter just as much: memory costs are rising faster than expected, and Nvidia is now underwriting some of its own customers' growth. Both cut against the simple growth story.
Data center revenue reached $89 billion, up 117% year over year, and the ACIE segment, which covers AI labs, cloud providers, industrial and enterprise customers outside the big hyperscalers, grew 138% year over year to $40.0 billion. Management said that segment now represents roughly half of Nvidia's data center business, a sign that governments and specialized cloud operators are becoming nearly as important as Amazon or Microsoft. Sovereign AI revenue, sold mostly through regional NeoCloud partners, grew 35% sequentially and more than tripled from a year ago, and those partners are expected to exit the year with 8 gigawatts of installed capacity, up from roughly 3 gigawatts at the end of 2025.
The bigger shift is how much of each data center dollar Nvidia now keeps for itself. Management said the revenue potential per gigawatt of capacity has climbed from $18 billion in the Hopper generation to $40 billion with the upcoming Vera Rubin platform, as Nvidia sells the CPUs, networking gear and software around its chips rather than just the chips themselves. Networking revenue hit a record, up 18% sequentially, with Spectrum-X Ethernet sales growing 2.6 times year over year. Amazon deepened its own commitment too, agreeing to deploy an additional 2 million Nvidia GPUs through the second quarter of fiscal 2029 alongside new Vera CPUs, while adopting Nvidia's Omniverse and robotics software for its warehouse fleet.
None of this looks like a company running out of runway. Nvidia returned $26 billion to shareholders in the quarter, split between $20 billion in buybacks and $6 billion in dividends, with about $99 billion still left on its repurchase authorization. Global venture funding into AI topped $400 billion in the first half of 2026 alone, with roughly 70% of that money earmarked for compute, which happens to be exactly what Nvidia sells.
Growth this fast is not free. Gross margin held at 75% this quarter, but CFO Colette Kress told investors it will bottom out at 71% to 72% in the fourth quarter as memory component costs spike, and that the size of those price increases has already exceeded the company's own expectations and is set to climb further into next year. Operating expenses are rising too, up 11% sequentially to $8.2 billion, with guidance near $9 billion for the next quarter, and inventory swelled to $31.6 billion as Nvidia stocks up ahead of the Vera Rubin launch.
#vera
Data center revenue reached $89 billion, up 117% year over year, and the ACIE segment, which covers AI labs, cloud providers, industrial and enterprise customers outside the big hyperscalers, grew 138% year over year to $40.0 billion. Management said that segment now represents roughly half of Nvidia's data center business, a sign that governments and specialized cloud operators are becoming nearly as important as Amazon or Microsoft. Sovereign AI revenue, sold mostly through regional NeoCloud partners, grew 35% sequentially and more than tripled from a year ago, and those partners are expected to exit the year with 8 gigawatts of installed capacity, up from roughly 3 gigawatts at the end of 2025.
The bigger shift is how much of each data center dollar Nvidia now keeps for itself. Management said the revenue potential per gigawatt of capacity has climbed from $18 billion in the Hopper generation to $40 billion with the upcoming Vera Rubin platform, as Nvidia sells the CPUs, networking gear and software around its chips rather than just the chips themselves. Networking revenue hit a record, up 18% sequentially, with Spectrum-X Ethernet sales growing 2.6 times year over year. Amazon deepened its own commitment too, agreeing to deploy an additional 2 million Nvidia GPUs through the second quarter of fiscal 2029 alongside new Vera CPUs, while adopting Nvidia's Omniverse and robotics software for its warehouse fleet.
None of this looks like a company running out of runway. Nvidia returned $26 billion to shareholders in the quarter, split between $20 billion in buybacks and $6 billion in dividends, with about $99 billion still left on its repurchase authorization. Global venture funding into AI topped $400 billion in the first half of 2026 alone, with roughly 70% of that money earmarked for compute, which happens to be exactly what Nvidia sells.
Growth this fast is not free. Gross margin held at 75% this quarter, but CFO Colette Kress told investors it will bottom out at 71% to 72% in the fourth quarter as memory component costs spike, and that the size of those price increases has already exceeded the company's own expectations and is set to climb further into next year. Operating expenses are rising too, up 11% sequentially to $8.2 billion, with guidance near $9 billion for the next quarter, and inventory swelled to $31.6 billion as Nvidia stocks up ahead of the Vera Rubin launch.
#vera
3 months ago
NVIDIA released three open-source Omniverse libraries embedding its simulation stack inside Houdini, Onshape, and Blender to become the default physical AI runtime.
NVDA delivered $82 billion in Q1 FY27 revenue, up 85% year over year, and guided Q2 to $91 billion at 75% non-GAAP gross margins.
Jensen Huang states the physical AI era will be built in simulation, with 48 ***** ysts backing NVDA at a $302 consensus price target.
Don't wait: the ***** yst who called NVIDIA in 2010 just revealed his top 10 AI stocks. See the full list FREE now.
NVIDIA (NASDAQ:NVDA) just quietly reset how investors should think about its next decade. The chip story is well told. The software story now has a number.
#year #omniverse #onshape
NVDA delivered $82 billion in Q1 FY27 revenue, up 85% year over year, and guided Q2 to $91 billion at 75% non-GAAP gross margins.
Jensen Huang states the physical AI era will be built in simulation, with 48 ***** ysts backing NVDA at a $302 consensus price target.
Don't wait: the ***** yst who called NVIDIA in 2010 just revealed his top 10 AI stocks. See the full list FREE now.
NVIDIA (NASDAQ:NVDA) just quietly reset how investors should think about its next decade. The chip story is well told. The software story now has a number.
#year #omniverse #onshape
4 months ago
Vertiv Holdings Co (NYSE:VRT) is one of the best AI networking stocks to buy according to **** ysts. The company gave investors a fresh AI infrastructure angle on June 1, when it announced progress on a production-grade digital twin capability for Vertiv SmartRun integrated into the NVIDIA Omniverse DSX Blueprint.
The system is designed to make AI factory infrastructure more configurable, repeatable, and simulation-ready, with Vertiv saying it can help design, simulate, and validate power, cooling, controls, and deployment workflows as a single system before build-out. That matters for AI networking because high-speed interconnects and dense accelerator clusters only work if the surrounding power and thermal infrastructure can support them at scale. Vertiv also said the SmartRun digital twin is the first phase of a multi-phase AI factory digital twin roadmap, aimed at narrowing the gap between accelerated compute innovation and physical infrastructure readiness.
photo by Business-laptop-campaign-creators on Unsplash
The company added another data-center infrastructure update on June 3, when it introduced Vertiv PurgeRite NearZero, a fluid management service for commissioning closed-loop hydronic systems in data centers and other mission-critical environments. Vertiv said selected deployments reduced total water consumption by up to 78%, water haul-off volumes by up to 91%, and discharge management costs by as much as 34%.
Vertiv Holdings Co (NYSE:VRT) provides critical digital infrastructure technologies and services for data centers, communication networks, and commercial and industrial environments.
The system is designed to make AI factory infrastructure more configurable, repeatable, and simulation-ready, with Vertiv saying it can help design, simulate, and validate power, cooling, controls, and deployment workflows as a single system before build-out. That matters for AI networking because high-speed interconnects and dense accelerator clusters only work if the surrounding power and thermal infrastructure can support them at scale. Vertiv also said the SmartRun digital twin is the first phase of a multi-phase AI factory digital twin roadmap, aimed at narrowing the gap between accelerated compute innovation and physical infrastructure readiness.
photo by Business-laptop-campaign-creators on Unsplash
The company added another data-center infrastructure update on June 3, when it introduced Vertiv PurgeRite NearZero, a fluid management service for commissioning closed-loop hydronic systems in data centers and other mission-critical environments. Vertiv said selected deployments reduced total water consumption by up to 78%, water haul-off volumes by up to 91%, and discharge management costs by as much as 34%.
Vertiv Holdings Co (NYSE:VRT) provides critical digital infrastructure technologies and services for data centers, communication networks, and commercial and industrial environments.
