Nvidia Stock Could Rise 10-Fold On New $10 Billion Growth Vector

Pete Najarian of @MarketRebellion joins Oliver Renick to talk about the state of the markets. He points to volatility and the market’s reaction to ecodata as key to whether it will cut 25BPS or 50BPS. Select to analyse similar companies using key performance metrics; select up to four stocks. Meanwhile, Nvidia has already announced plans to introduce its next-generation Rubin architecture in early 2026.

Recent news: NVDA

In the U.S., the labor market has begun to show unmistakable signs of weakness following the jobs boom that accompanied a broader economic recovery from the Covid pandemic. In China, problems in the housing sector have begun to weigh on consumption. Oil prices, which tend to track global economic activity, have fallen to their lowest levels in three years. Its overall market capitalization — the value of the company based on its shares — remains around $2.6 trillion.

Second, constant innovation should help the company keep its pricing power. Nvidia’s chips are expensive and come with high gross margins, so it needs to stay on the cutting edge, which it clearly aims to do. The gaming world is also a large customer of Nvidia’s graphics division.

Were Nvidia stock — in an optimistic scenario — to keep rising at the 287% annual rate it enjoyed between May 2023 and last Friday, the company’s post-split shares could top $1,200 sometime in 2026, according to my analysis. This dependence on CUDA helped create a wide moat for the company’s GPUs. While AMD has since developed its own software platform, ROCm, it isn’t considered to be as good as CUDA. Also, the time and cost to retrain people on ROCm or other software platforms are high. It gained that control because the company’s chips long ago became the industry standard thanks largely to its CUDA software platform. The software platform was created by Nvidia back in 2006 as a way for developers to be able to directly program Nvidia’s GPUs.

Over time, this lower stock price makes it easier for investors to access shares. “Investors are debating whether future revenues for top tech and cloud computing firms could justify billions of dollars of capital spending being poured into artificial intelligence (AI),” analysts with BlackRock Investment Institute wrote. In addition to the wide moat Nvidia created with its CUDA software platform, the company also accelerated its innovation cycle. It now plans to introduce updated GPU architecture platforms nearly every year versus two years previously. The company is currently seeing strong demand for its Hopper GPU architecture platform, introduced in 2022. It plans to start shipping chips designed on its new Blackwell GPU architecture in Q3 of this year (a short delay kept it from being introduced in Q2).

The newest Grok 3 LLM from xAI, meanwhile, is projected to require 100,000 GPUs, up from 20,000 used by Grok 2. With no signs of the demand for generative AI slowing down, Nvidia is poised to grow as each new system is adopted. The AI industry is expected to grow at a compound annual growth rate of 42% in the next 10 years, according to Bloomberg Intelligence.

1. On June 7, 2024, Nvidia stock completed a 10-for-1 stock split, which will make its stock price approximately $120 from $1,200.
2. Nvidia’s stock has become a bellwether for the global economy as a whole, as it has helped drive a boom in investment from large tech companies that have looked to AI to drive new innovation — and profit.
3. With the stock price recently pulling back off its highs, now looks like a great time to buy Nvidia stock like there is no tomorrow.
4. Unless high-payoff applications emerge from this process of generative AI experimentation, the wave of demand for Nvidia’s GPUs could taper off over the long run.
5. Companies are turning to XR programs to create virtual environments for training.

NASDAQ: NVDA

Nvidia reported revenue of $30 billion for its fiscal second quarter ending July 28, 2024. This revenue was up 15% from the previous quarter and up 152% from one year prior. The company earned record quarterly data center revenue of $26.3 billion, which increased 16% from the previous quarter and was up 154% from the previous year. Each of Nvidia’s earnings reports exceeded expectations throughout 2023 as AI started gaining momentum and attention. Nvidia’s advanced chips can use and process the massive amounts needed to train generative AI programs, such as ChatGPT and Gemini.

Amanda Hetler is senior editor and writer for WhatIs, where she writes technology explainer articles and works with freelancers. Miners use its cards for mining tokens, which requires a great deal of power. There was American airline aktie an unprecedented demand for Nvidia’s cards as cryptocurrency took off. Meanwhile, a pair of new reports this week cast fresh doubt about when AI investments will pay off. Please read the full list of posting rules found in our site’s Terms of Service. Unless high-payoff applications emerge from this process of generative AI experimentation, the wave of demand for Nvidia’s GPUs could taper off over the long run.

Ben Reitzes, Melius Research head of technology research, joins ‘Power Lunch’ to discuss his thoughts on the chip sector, how much volatility to expect in the semiconductor sector, and what’s at stake… Aswath Damodaran, a professor of finance at the Stern School of Business at New York University, weighed in on the shares following its recent earnings report. With the stock price recently pulling back off its highs, now looks like a great time why network engineers need to learn linux to buy Nvidia stock like there is no tomorrow.

Since Nvidia dominated this market before the increasing need for AI, Nvidia only grew larger as demand soared. Sosnick says much of the selling of Nvidia’s stock, which trades as NVDA, may ultimately have to do with investment managers making sure they cement the outsized price increase the company’s shares have already seen this year. In the meantime, business and political leaders’ fear of falling behind in the generative AI race could drive high demand for Nvidia’s chips — and the company’s stock. Two weeks ago the stock traded at more than $1,200, but the company completed a 10-for-1 stock split after trading closed on June 7. That gave each investor nine additional shares for every share they already owned.

CEO Jensen Huang has sold more than $633 million in Nvidia stock since June

Chip stocks slumped this week, with the PHLX Semiconductor Index (SOX) tumbling 10%, its biggest weekly decline since January 2022. In 2023, NVIDIA’s revenue was $60.92 billion, an increase of 125.85% compared to the previous year’s $26.97 billion. Please bear with us as we address this and restore your personalised lists. Get stock recommendations, portfolio guidance, and more from The Motley Fool’s premium services.

This technology stock still has a lot of potential upside ahead. Founded in 1993, The Motley Fool is a financial services company dedicated to making the world smarter, happier, and richer. The Motley Fool reaches millions of people every month through our premium investing solutions, free guidance and currency translation adjustments market analysis on Fool.com, top-rated podcasts, and non-profit The Motley Fool Foundation. Enterprises are looking to adopt generative AI, leading to the creation of new vendors to meet business needs. New areas such as security and compliance will also change the generative AI market in the business world. In order to do so, please follow the posting rules in our site’s Terms of Service.

Research analysis: NVDA

The demand for generative AI products could make the generative AI market worth $1.3 trillion by 2032. GPUs are computer chips or semiconductors that use math operations to produce visuals and images. The GPU manages and speeds up graphic workloads and displays visual content on a device such as PC or smartphone. A host of factors appear to have helped drive the sell-off, which also sparked losses in broader market indexes like the Nasdaq Composite and Dow Jones Industrial Average.

Nvidia Stock Is Falling. CEO Jensen Huang Sold a Chunk of Shares Worth This Much.

Nvidia offers 3D modeling programs to help stream extended reality (XR) content efficiently. As the metaverse evolves, so does the demand for Nvidia chips to run the metaverse. Companies are turning to XR programs to create virtual environments for training. Nvidia’s A100 GPU chips are used in training the model for ChatGPT. Companies, such as OpenAI, that use large amounts of data for tasks such as training large language models evolve quickly and need more accelerated computing.