Nvidia CEO sells 100,000 shares of company shares
Jensen Huang sold 100,000 Nvidia shares between June 20th and 23rd, bringing nearly $15 million at an average price of $144.04 per share.
Cheddar
nvidia (NASDAQ: NVDA) We do not disclose accurate customer lists. However, the company is a leading supplier of data center chips for artificial intelligence (AI) workloads, and Amazon knows (NASDAQ: AMZN)Microsoft (NASDAQ: MSFT)alphabet (NASDAQ: GOOG) (NASDAQ: GOOGL),Meta Platform and Oracle are some of the largest buyers of its hardware based on published filings.
These data center chips are called graphics processing units (GPUs), and it is hard to believe the eye-opening amounts of money customers spend on these chips. Please continue reading.
Being a leader in AI races is not cheap
There are two major AI workloads: This involves supplying track data to AI models with data to make them “smartier” and the process by which the AI model uses that data to formulate or predict responses. These two workloads are processed in a massive data center filled with thousands of GPUs, and will cost billions of dollars of construction.
Companies such as Amazon, Microsoft, Alphabet, and Meta have the resources to build AI infrastructure to develop their own AI models. Amazon, Microsoft, Alphabet and Oracle are also building AI data centers to rent computing power to smaller developers and rent it for profit.
This is the amount AI companies currently spend on AI data centers across AI, based on current submissions.
- Amazon has been allocated to capital expenditures (CAPEX) of up to $105 billion in 2025 alone, most of which goes to AI data centers and GPUs.
- Microsoft’s 2025 fiscal year ends on June 30th, with the company planning to spend more than $80 billion on AI infrastructure.
- Alphabet forecasts $75 billion in AI CAPEX spending for the 2025 calendar year.
- The meta platform originally planned to spend up to $65 billion in 2025 to promote AI ambitions, but recently raised the high-end forecast to $72 billion.
- Oracle’s 2025 fiscal year recently ended on May 31, spending $21.2 billion on AI infrastructure. The company plans to allocate more than $25 billion to AI Capex in 2026.
This list does not openly disclose companies such as Openai, Anthropic, and Elon Musk’s Xai as they do not include private companies.
Not all of that money flows to Nvidia, but each of the above companies publicly acknowledges their commercial ties with the chip giant. Nvidia’s GPUs and networking equipment account for a large portion of AI data center spending, but other key costs include land acquisition, construction, power infrastructure, cooling systems and staff.
Oracle, Meta and Microsoft also purchase GPUs from advanced micro devices. Some hyperscalers, like Alphabet, have worked with Broadcom to design their own chips.
Nvidia believes there is plenty of room for growth in data centre spending
Nvidia’s Hopper GPU architecture is at the foundation of the most powerful AI chips in 2023, including the popular H100 for most of 2024. However, two years after H100 sales increased, Nvidia launched two new architectures called Blackwell and Blackwell Ultra. The latter platform can deliver 50 times more performance than Hopper on a specific GPU configuration.
Blackwell Ultra GPUs like the GB300 are designed for current AI “inference” models, spending time thinking in the background before generating responses compared to traditional large language models (LLM), leading to more accurate output. Nvidia CEO Jensen Huang said some kind of inference model requires 100 to 1,000 times more computing power than its predecessor.
Nvidia plans to launch another new architecture next year called Rubin. This translates to a staggering performance improvement of 165 times faster than the Blackwell Ultra, 3.3 times faster than the Hopper.
The constant hunt for more computing power is why Huang predicts AI data center spending will exceed $1 trillion by 2028, which should support Nvidia’s continued growth in business. As a result, Nvidia’s stock could be a great purchase for now, despite trading near record highs.
John Mackey, former CEO of Amazon subsidiary Whole Foods Market, is a member of Motley Fool’s board of directors. Suzanne Frey, an executive at Alphabet, is a member of the board of directors of Motley Fool. Randi Zuckerberg, a former director of market development, Facebook spokeswoman and sister to Metaplatform CEO Mark Zuckerberg, is a member of Motley Fool’s board of directors. Anthony di Pizio does not occupy any of the stocks mentioned. Motley Fool introduces and recommends advanced microdevices: Alphabet, Amazon, Meta Platforms, Microsoft, Nvidia and Oracle. Motley Fool recommends Broadcom and the following options are recommended: A $395 call at Microsoft for January 2026 and a $405 call at short term Microsoft for January 2026. Motley Fools have a disclosure policy.
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