NVIDIA Corporation NVDA

Current Value of $10,000 Investment in Nvidia
If you had invested $10,000 in Nvidia stock 10 years ago, your investment would be worth over $2.2 million today.
Investment Growth
Initial Investment Current Value Growth Percentage
$10,000 $2,200,000+ Over 22,000%
This remarkable growth reflects Nvidia's significant rise in value, particularly as it has become a leader in artificial intelligence and technology infrastructure.
The Motley Fool
Yahoo

Nvda/ Current Value of $10,000 Investment in Nvidia
If you had invested $10,000 in Nvidia stock 10 years ago, your investment would be worth over $2.2 million today.
Investment Growth
Initial Investment Current Value Growth Percentage
$10,000 $2,200,000+ Over 22,000%
This remarkable growth reflects Nvidia's significant rise in value, particularly as it has become a leader in artificial intelligence and technology infrastructure.
The Motley Fool
Yahoo

Nvda/Why Nvidia’s Hugging Face deal is about much more than chips
Kai Nicol-Schwarz
This report is from this week’s The Tech Download newsletter. Like what you see? You can subscribe here.

Yesterday, Nvidia confirmed what we all already knew.

The company is planning to acquire Hugging Face, a New York-based startup which has built a repository for open source AI models and recently shot to global recognition after it came under a cyberattack by rogue OpenAI models.

The price tag was a cool $12.9 billion, making Hugging Face Nvidia’s second-biggest purchase, after it paid $20 billion for chipmaker Groq’s assets.

That nearly $13 billion valuation was what it took to fend off other bidders, Nvidia CEO Jensen Huang told CNBC on Thursday.

So why did the world’s most valuable company splash the cash for Hugging Face?

Jensen Huang, chief executive officer of Nvidia Corp., speaks to members of the media following the company’s “Japan AI Ecosystem” reception in Tokyo, Japan, on Thursday, July 16, 2026.

Kiyoshi Ota | Bloomberg | Getty Images

‘Defensive move’

To understand that, first we need to break down what Hugging Face actually does.

The startup has become perhaps the leading platform for building, sharing and running AI models, particularly in the open source and weight ecosystem — which means developers can edit and self-host a model.

Half of Nvidia’s business, Huang said, is “really largely driven by open models.” The chip giant itself is a big developer of open models — with Huang telling CNBC on Thursday that the company was the largest contributor of open models in the world “by far.”

Hugging Face also sells infrastructure and collaboration tools to organisations working with closed, proprietary AI — as well as robot ducks.

The platform’s reach is extensive. More than 18 million people use the platform to share more than 3 million models and 500,000 datasets, and it is used by more than 200,000 companies, Nvidia said in a press release.

The startup has become “one of the most important parcels of real estate in the AI market,” Gil Luria, head of technology research at D.A. Davidson said in a note.

The closest comparable to Hugging Face’s business was GitHub, a software repository that was acquired by Microsoft in 2018 for $7.5 billion, Luria said.

One of the learnings from that transaction was that allowing a tech giant to acquire an “important repository puts everybody else at a disadvantage,” Luria added, making Nvidia’s acquisition of Hugging Face a “defensive move”.

“If one of the big labs, or worse yet Google, owned Hugging Face, it would be in a position to slow down open source AI in the U.S., which would allow the big labs to increase their power,” he added.

Control

In short, Hugging Face is where AI developers hang out — and that’s exactly the kind of space Nvidia would like to control.

“Nvidia gains visibility into customer’s preferences and the AI models they use,” Naveen Chhabra, principal analyst at Forrester, told CNBC. “They can see which models are trending, what datasets customers are downloading, and the architectures that are gaining traction weeks before they hit mainstream tech news.”

The acquisition is an extension of the company’s “strategy to encourage a wide range of AI models to prosper, including both proprietary frontier models and open weight models,” Ian Fogg, research director at CCS Insight, told CNBC.

The chip giant has become one of the biggest strategic backers of tech companies in the world as it’s built up equity stakes across the AI stack, as well as helping to bankroll GPU purchases with increasingly complex financial arrangements.

Now it’s looked to secure one of the world’s leading AI hubs outright — and it beat out other suitors in the process.

Who were they, I hear you ask? Huang wasn’t forthcoming on CNBC’s “Squawk Box.”

“It doesn’t matter who the other bidders were,” he told CNBC. “It only matters who wins.”

If You Recognize What This Number Means Then You Are Likely An NVIDIA Bull
One number buried in NVIDIA's latest earnings report tells you everything about whether this company has real pricing power or just a lucky streak, and most investors scroll right past it.

Alex Sirois
Published September 4, 2026, 7:47am ET · 3 min read
Quick Read

NVDA's 75% gross margin held while Q2 revenue surged 106% to $96B, and management guided 70% FY2028 revenue growth constrained only by supply.
NVDA's 60% operating margin and Jensen Huang's declaration that NVIDIA's architecture runs every model give it a structural edge over AMD and INTC.

Nvda/If You Recognize What This Number Means Then You Are Likely An NVIDIA Bull
One number buried in NVIDIA's latest earnings report tells you everything about whether this company has real pricing power or just a lucky streak, and most investors scroll right past it.

Alex Sirois
Published September 4, 2026, 7:47am ET · 3 min read
Quick Read

NVDA's 75% gross margin held while Q2 revenue surged 106% to $96B, and management guided 70% FY2028 revenue growth constrained only by supply.
NVDA's 60% operating margin and Jensen Huang's declaration that NVIDIA's architecture runs every model give it a structural edge over AMD and INTC.

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Nvda/Nvidia's investments grow to $99 billion as chip giant becomes major backer of AI companies
Kai Nicol-Schwarz
Nvidia has become one of the world's largest corporate backers of tech companies as the value of its equity investments soared more than tenfold in the past year to $99 billion, with the chip giant increasingly looking to leverage its huge capital reserves to bolster the AI sector.

The company has ramped up dealmaking for financing rounds across the AI stack in the previous 12 months, with over $40 billion committed in 2026. Equity investments were valued at $99 billion as of July 26, up from about $7 billion a year earlier and about $2.2 billion two years earlier.

The rise in value puts Nvidia among the strategic investors with the largest tech holdings around the world. The company still trails some more established tech firms, with Alphabet and Amazon both posting equity investments worth over $100 billion in recent earnings.

Capital has increasingly become a key play for Nvidia.

In August, the company announced partnerships with major investment firms aimed at mobilizing more than $500 billion worth of financing for Nvidia's graphics processing units (GPUs) and said it would provide up to $105 billion of conditional credit support for an OpenAI data center in Ohio. Nvidia also announced Thursday it is planning to acquire AI startup Hugging Face for $12.9 billion.

Frontier labs, neoclouds and companies building software and novel tech for AI — both in private and public markets — have been recipients of cash, with the value of Nvidia's equity holdings also buoyed by skyrocketing tech stocks.

Nvidia made the investments to enhance its growth opportunities, cultivate its ecosystem and strengthen its competitive position, the company said in its earnings.

"Nvidia has a clear interest in ensuring that its customers and partners prosper to provide future business for Nvidia," Ian Fogg, research director at CCS Insight, told CNBC. "Equity investments help companies to innovate, but also give Nvidia a degree of control to encourage companies to take a Nvidia-related innovation path."

Securing positioning

Nvidia dominates the market for the most advanced chips used for AI, known as graphics processing units (GPUs). Business has boomed as a result.

The chip giant has seen its stock increase by 33% over the past 12 months, and its revenue soared 106% to $96.2 billion in its fiscal second quarter.

"Nvidia is keen to diversify its AI business," said Fogg. "In its most recent quarter, $48.7BN of $96.2BN revenue came from the Hyperscale segment which includes the largest cloud players."

The company is taking steps including financing and equity investments to "increase the range of customers and create an AI ecosystem," he added. "Some aim to support emergent cloud providers, others help Nvidia grow new markets, like telecom for example with the $1BN Nokia equity investment."

Frontier AI labs have been major recipients of Nvidia splashing the cash. The chip giant's Chief Financial Officer Colette Kress told analysts on an earnings call that the company had invested "nearly $50 billion in the frontier AI labs."

Most recently, in February, Nvidia said it would invest $30 billion into OpenAI as part of the company's $110 billion funding round.

While frontier AI labs had "extraordinary" demand for compute, they were growing faster than balance sheets and credit profiles could support and struggled to secure AI factory infrastructure independently, Kress added. "Nvidia is needed to help power this flywheel."

Neoclouds, which buy Nvidia GPUs and then rent access to companies, such as Nebius and CoreWeave, have also courted the chip giant. January saw Nvidia invest $2 billion into CoreWeave and in March it was announced that Nebius secured a $2 billion investment.

CoreWeave shares jump 14% intraday after news of Nvidia investment
"By injecting capital directly into AI infrastructure financiers, specialized cloud providers and foundation model labs, Nvidia provides these startups with the balance sheet strength to purchase tens of thousands of Nvidia GPUs," Naveen Chhabra, principal analyst at Forrester, told CNBC.

The company has also invested in nascent technological areas. Since March, Nvidia has committed at least $6.5 billion into companies developing photonics and optical technology — which uses light to transmit data and is considered to be a more efficient alternative to transferring data using electricity.

Lumentum, Coherent and Marvell each received $2 billion investments from the tech giant.

"Optics/networking specialists, like Coherent, receive investments to ensure their tooling, NVLink protocols and design engines remain strictly optimized for Nvidia's architecture," said Chhabra. "This creates high switching costs and protects the CUDA software moat against competing accelerators from AMD or internal custom chips from cloud providers."

Nvidia has also seen its $5 billion investment in Intel soar to a value of $30 billion, while its SpaceX holding was worth $21 billion as of June.

"As global AI chip demand runs into physical supply constraints particularly around high-bandwidth memory (HBM) and advanced packaging, Nvidia uses strategic equity positions like in domestic manufacturing options like Intel, to secure priority manufacturing access, reduce Asian foundry concentration risk and stabilize key component supplies," said Chhabra.

Nvda/For NVIDIA, the PE ratio is low compared to peers, indicating potential undervaluation. The high PB and PS ratios suggest strong market sentiment and revenue multiples. The high ROE, EBITDA, gross profit, and revenue growth highlight strong profitability and growth potential within the industry sector.

NVDA Buy Ride it !!