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Nvidia's Hopper chips include the H100, which was announced in 2022 and faced severe supply shortages last year as the AI gold rush intensified. Tuesday's AWS news represents a pushout in demand for Nvidia chips, not a loss of it. That would be the so-called "digestion" phase for AI chips that Wall Street has been speculating about since last year. If anything, AWS deciding to wait for the more-powerful Blackwell chips could mean the digestion phase is further out on the horizon than initially thought. Unlike last year, when Nvidia's chips were in such short supply, there are now rival chips out there, such as AMD's MI300X, which is angling for a corner of the inferencing market .
Persons: you've, it's, Jim Cramer, Hopper, Blackwell, Nvidia's Hopper, There's, Grace Hopper Superchip, Kimberly Powell, Powell, Jim Cramer's, Jim, Jensen Huang, Justin Sullivan Organizations: Nvidia, Blackwell, Amazon Web Services, CNBC, NVIDIA, AWS, Club, SAP Center Locations: Hopper, Ceiba, San Jose , California
Best in months: The S & P 500 and Nasdaq are both higher on Friday, on pace for their best weeks since November. The gains break a three-week losing streak for the broad-based S & P and four straight losing weeks for the tech-heavy Nasdaq. About 46% of the S & P 500 has reported earnings so far, with nearly three quarters beating consensus expectations, according to FactSet. Earnings ahead : The busiest week of the first-quarter earnings season is coming up. But the company will still be buying back stock ahead of better times."
Persons: Jim Cramer, there's, Grace Hopper Superchip, Sanjay Mehrotra, Lam, Sanjay, we'll, Dow, Dupont, Jim Cramer's, Jim, Milton J, Kevin Lamarque Organizations: CNBC, Nasdaq, Microsoft, Intel, Nvidia, Micron, Lam Research, Apple, Coterra Energy, Starbucks, DuPont, Jim Cramer's Charitable, Micron Technology, Rubenstein Museum of Science, Technology Locations: Chevron, Devon, Syracuse , New York, U.S
Walid Berrazeg | Lightrocket | Getty ImagesNvidia shares jumped more than 12% in premarket trade on Thursday after the chip giant posted bumper earnings that beat Wall Street estimates. Nvidia chips are used to train the huge AI models such as those developed by Microsoft and Meta . The company forecast its revenue in the current quarter will hit $24 billion, way ahead of estimates. "Fundamentally, the conditions are excellent for continued growth" in 2025 and beyond, Nvidia CEO Jensen Huang told analysts on Wednesday, adding to the bullish sentiment around the stock. Nvidia's Data Center business, which includes the company's H100 graphics cards that are used for AI training, posted sales of $18.4 billion in the fourth quarter, representing 409% year-on-year growth.
Persons: Jensen Huang, Walid Berrazeg Organizations: Nvidia, Lightrocket, Getty, Wall, Microsoft, Meta, Data Center Locations: U.S
A hotter-than-expected consumer price index on Tuesday sent stocks reeling, with the Dow posting its biggest drop in a year. Stocks bounced back over the next two days, helped by a softer retail sales report , only to slump again on Friday's hot producer price index for January. As we said this week, we're not overly concerned with the hotter-than-expected inflationary readings. Earnings season picks back up for the Club next week, with four holdings set to report quarterly results. As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade.
Persons: Wall, Stocks, we're, Palo, Fortinet, BCH's Bausch, Management doesn't, Dana, Bausch, Dr Pepper, Diana Shipping, Jim Cramer's, Jim Cramer, Jim, Jensen Huang, Walid Berrazeg Organizations: Dow Jones Industrial, Nasdaq, Dow, Federal Reserve, Club, Palo Alto, Palo, billings, Nvidia, Amazon, Microsoft, Bausch Health, Coterra Energy, Management, NYSE, Walmart, Axsome Therapeutics, Barclays Bank, Armstrong World Industries, Ceragon Networks, Tri Pointe Homes, Dana Incorporated, DigitalBridge, Oil States International, Systems, Allegion, CenterPoint Energy, Equitrans Midstream Corporation, Expeditors International of Washington, Alto Networks, SolarEdge Technologies, Enovix Corporation, Caesars Entertainment, Diamondback Energy, Toll, Ternium S.A, Celanese Corp, Chesapeake Energy, CVR Energy, Reserve, Vertiv Holdings Co, Properties Trust, Devices, HSBC Holdings plc, HSBC, Lomb, Sinclair Corporation, Pagaya Technologies, Gibraltar Industries, Garmin, NVIDIA, Rivian Automotive, Sunnova Energy International, Bros, Apache, Oil, Suncor Energy, Co, FNF, Sciences, Coeur D'Alene Mines, Trip.com, Joby Aviation, Resources, Alamos, Jackson, Nutrien, NTR, Pan, Sm Energy Company, Health, Newmont, Nikola Corporation, Cheniere Energy, Fiverr, Natural Resources, Point Credit, Lantheus Holdings, Builders, Grab Holdings, NICE, Dominion Energy, Harmony Biosciences Holdings, Teck Resources Limited, Intellia Therapeutics, Energy, Booking Holdings, Intuit, Semiconductor, Nation Entertainment, Vale S.A, Rocket Companies, Warner Bros ., AerCap Holdings, Natural Holdings, Calumet Specialty Products Partners, Frontier Communications, Jim Cramer's Charitable, CNBC, Lightrocket, Getty Locations: billings, Palo Alto, China, Xifaxan, Tri Pointe, Avista, Gibraltar, Coeur D'Alene, Pan American, Teck, Vale
Generative AI Neural networks are the heart of the increasingly popular type of AI known as generative artificial intelligence , or gen AI for short. Both traditional AI and gen AI systems rely on data and can be used to automate decision-making tasks. Microsoft's AI virtual assistant Copilot — which went live in November — is perhaps the most prominent generative AI feature among our portfolio companies. Bias Bias is another downside to AI systems — and LLMs in particular — that users need to consider. While GPUs have the upper hand in AI training, CPUs are understood to perform AI inference well.
Persons: OpenAI's, , We've, that's, Chirag Shah, Shah, Mark Riedl, Bruce Springsteen, Einstein, Copilot —, Springsteen, OpenAI, it's, Riedl, Harry Potter, I've, ChatGPT, University of Washington's Shah, there's, he'd, Georgia Tech's Riedl, LLMs that's, Georgia Tech's, Meta, Grace Hopper Superchip, Jim Cramer's, Jim Cramer, Jim Organizations: Broadcom, Microsoft, Meta, Nvidia, Apple, Chirag, University of Washington, Google, Georgia Tech's School of Interactive Computing, YouTube, Netflix, Amazon, Facebook, Reuters, U.S, University of Washington's, OpenAI, New York Times, Club, Jim Cramer's Charitable, CNBC Locations: Silicon Valley, Barcelona, U.S, WhatsApp, Istanbul, Georgia
During the Amazon Web Services cloud conference on Tuesday, Amazon unveiled upgraded AI chips, a new chatbot and an expanded partnership with Nvidia. Expanded Nvidia partnership Amazon on Tuesday outlined the details of its deepening partnership with semiconductor firm Nvidia – the global leader in the development of AI chips. Amazon's announcements involved not only Nvidia' bread-and-butter AI chips known as graphics processing units, or GPUs, but also its fast-growing – yet still underappreciated – software-and-service offerings. In general, Amazon has touted its own AI chips as being a lower-cost option for customers. Nvidia's AI hardware is known to carry a hefty price tag .
Persons: Grace Hopper Superchip, , Jensen Huang, Jim Cramer's, Jim Cramer, Jim, Arjun Kharpal Organizations: Nvidia, Services, Amazon, Microsoft, Oracle, JMP Securities, CNBC, IAA, Qualcomm, Samsung Locations: Munich
It led to a shortage of Nvidia's chips as companies raced to incorporate similar generative AI technologies into their products. Amazon's own Trainium2 chips are built for training AI models, including the sort that AI chatbots like OpenAI's ChatGPT and its competitors run on. More than 50,000 AWS customers are already using Graviton chips, Amazon said. Finally, as part of its deepening relationship with Nvidia, AWS said it will operate more than 16,000 Nvidia GH200 Grace Hopper Superchips, which contain Nvidia GPUs and Nvidia's Arm-based general-purpose processors. AWS didn't announce release dates for virtual-machine instances with Nvidia H200 chips, nor instances relying on its Trainium2 silicon.
Persons: Maia, Grace Hopper Superchips, Deepwater's Gene Munster Organizations: Services, Nvidia, Microsoft, Big, Intel, AMD, AWS Locations: Las Vegas, Graviton
Jensen Huang, president of Nvidia, holding the Grace hopper superchip CPU used for generative AI at the Supermicro keynote presentation during Computex 2023. When Nvidia reports fiscal third-quarter results Tuesday, analysts are expecting to see revenue growth of over 170%. Heading into the Thanksgiving holiday, Wall Street will be closely scrutinizing the company that's been at the heart of this year's artificial intelligence boom. In particular, the emergence of AMD in the generative AI market presents a new dynamic for Nvidia, which has mostly had the AI graphics processing unit (GPU) market to itself. "NVDA needs to forcefully counter the narrative its products are too expensive for generative AI inference," the Bank of America analysts wrote.
Persons: Jensen Huang, that's, Lisa Su, Raymond James, OpenAI's, Sam Altman, OpenAI, Emmett Shear, Satya Nadella, Altman, Greg Brockman, Jensen, Eric Jackson Organizations: Nvidia, " Bank of America, AMD, Bank of America, FactSet, LSEG, Microsoft, Cailian Press Locations: China, OpenAI
Jensen Huang, president of Nvidia, holding the Grace hopper superchip CPU used for generative AI at the Supermicro keynote presentation during Computex 2023. Nvidia on Monday unveiled the H200, a graphics processing unit designed for training and deploying the kinds of artificial intelligence models that are powering the generative AI boom. The new GPU is an upgrade from the H100, the chip OpenAI used to train its most advanced large language model, GPT-4. The H200, which is expected to ship in the second quarter of 2024, will compete with AMD's MI300X GPU. AMD's chip, similar to the H200, has additional memory over its predecessors, which helps fit big models on the hardware to run inference.
Persons: Jensen Huang, Raymond James, it's Organizations: Nvidia, Monday, Big
Arm's big break came in 1993, when Apple launched its early handheld Newton device on the Arm610 processor. Arm's big break came in 1993 when Apple released its handheld Newton device on the Arm610 processor. Apple moved to its own Arm-based processors in Mac computers in 2020, breaking away from the Intel x86 processors that had powered them for 15 years. Qualcomm is another major customer making its latest PC processors using Arm, although that relationship is strained. This simplification is also making Arm the choice for non-chip companies like Apple, Amazon, Google and Microsoft designing their own custom silicon.
Persons: Haas, Richard Grisenthwaite, I've, Grisenthwaite, Japan's SoftBank, Grace Hopper Superchip, Grace Hopper, they're, Cash, SoftBank, Softbank, Rene Haas, CNBC's Katie Tarasov, Katie Brigham Arm, It's, Daniel Newman, Newman, O'Donnell, Apple, Nuvia, Arm's Grisenthwaite, They've, " O'Donnell, Max Thurlow Organizations: Apple, Acorn Computers, Texas, Nokia, Nvidia, Google, Samsung, Qualcomm, Futurum, Intel, Amazon, AMD, Cruise, Microsoft, Arm Holdings Locations: Cambridge, NXP, U.S, Arizona , California, North Carolina, Texas, Norway, Sweden, France, India, San Jose , California, IoT, England, China
Nvidia says its Grace Hopper Superchip is designed for AI and high-performance computing applications. Photo: Walid Berrazeg/Zuma PressSemiconductors advanced for decades under the principle known as Moore’s Law, a formulation that describes the improvements that underlie the dramatic evolution of digital technology, and in recent years, advanced forms of artificial intelligence such as deep learning. Moore’s Law, an observation, really, was formulated in 1965 by Intel co-founder Gordon Moore , holding that the number of transistors on a chip doubles roughly every year. Transistors once sold for as much as $150 each. In 2019, a typical Intel microprocessor contained five billion of them—each costing $0.0000001.
Persons: Grace Hopper Superchip, Walid Berrazeg, Gordon Moore Organizations: Nvidia, Zuma Press Semiconductors, Moore’s, Intel
The U.K. government said Wednesday that it will invest £225 million, or $273 million, into an artificial intelligence supercomputer, highlighting the country's ambition to lead in the technology as it races to catch up to the U.S. and China. The University of Bristol will build the supercomputer, called Isambard-AI after the 19th century British engineer Isambard Brunel. The announcement coincided with the first day of the U.K.'s AI safety summit, which is being held in Bletchley Park. The computer will pack 5,448 GH200 Grace Hopper Superchips, powerful AI chips made by U.S. semiconductor giant Nvidia , which specializes in high-performance computing applications. The U.K. government hopes the two combined supercomputers will achieve breakthroughs in fusion energy, health care and climate modeling.
Persons: Isambard Brunel, Grace Hopper Superchips, StackPC Organizations: The University of Bristol, Nvidia, Hewlett Packard Enterprise, American IT, Cambridge, Dell, Intel Locations: China, Bletchley Park, Britain, U.S, American, East Asia
The company commands a dominant position in the market for chips used in AI model training. But the question that still lingers in our minds is whether that growth can be substantial enough to meet the lofty, multiyear expectations that became baked into Nvidia's stock price in recent months. Based on the Reuters report, the potential boost to revenue wouldn't arrive for more than a year, and it's unclear what Nvidia's market share would look like then. Another reason for tempered enthusiasm: The gross margins on PC CPUs are typically smaller than Nvidia's data-center chips, a market in which the company has pricing power. Bottom line Nvidia's potential foray in PC CPUs is a development that we'll continue to monitor, but it doesn't put to rest longer-term questions around China.
Persons: Jim Cramer, Jim, Biden, Washington's, Grace Hopper superchip, it's, doesn't, Jim Cramer's, Tyrone Siu Organizations: Nvidia, of Commerce, Reuters, Microsoft, Arm Holdings, Intel, Devices, AMD, Bank of America, Apple, Qualcomm, CNBC, Nvidia Corporation Locations: China, Silicon Valley, U.S, Taipei, Taiwan
REUTERS/Dado Ruvic/Illustration/File Photo Acquire Licensing RightsBENGALURU, Sept 8 (Reuters) - U.S. chip firm Nvidia and telecom-to-retail giant Reliance on Friday announced an AI partnership to create language models, generative apps and a cloud infrastructure platform for AI development in the South Asian nation. "Reliance will create AI applications and services for their 450 million Jio (telecom) customers and provide energy-efficient AI infrastructure to scientists, developers and startups across India," Nvidia said. Nvidia globally has a near-monopoly on the computing systems used to power services like ChatGPT, OpenAI's blockbuster generative AI chatbot. Reliance said the new AI infrastructure will speed up a range of India's key AI projects, including chatbots, drug discovery, and climate research. Separately, India's Tata Group too is set to announce an AI partnership with Nvidia later during Friday, a source with direct knowledge of the matter told Reuters.
Persons: Dado Ruvic, Mukesh Ambani, Grace Hopper Superchip, Reliance, Neil Shah, Munsif, Aditya Kalra, Sharon Singleton, Kim Coghill, David Evans Organizations: NVIDIA, REUTERS, Rights, Nvidia, Reliance, Counterpoint Research, Reuters, India's Tata Group, Thomson Locations: India, Bengaluru, Dhwani Pandya, Mumbai, New Delhi
DGX Cloud — Nvidia's supercomputer and related software accessible via a web browser — is coming to Google Cloud, too. The company also announced plans to integrate AI into its Google Workspace and Google Cloud offerings through a program called Duet AI. The firm expects "Google Cloud to remain a key driver of [the company's] top-line growth and margin improvement." As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Thomas Kurian, CEO of Google Cloud, speaks at a cloud computing conference held by the company in 2019.
Persons: Jim Cramer, Jim, Grace Hopper Superchip, Thomas Kurian, Jim Cramer's, Michael Short Organizations: Nvidia, Google, Club, Broadcom, Microsoft, Oracle, Wall Street, JPMorgan, CNBC, Bloomberg, Getty
And that $1 trillion of data centers is in the process of transitioning into accelerated computing and generative AI. Additionally, Nvidia announced AI-ready servers to support the VMware Private AI Foundation and help businesses customize and deploy generative AI applications using their proprietary data. Shares of AMD have also surged higher in this year's AI trade, though the role the company plays in the field is less clear. As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust's portfolio.
Persons: Jim Cramer's, Jensen Huang, Huang, ChatGPT, Nvidia's Huang, It's, We've, Grace Hopper Superchip, it's, hyperscalers, Jim Cramer, Jim, Eduardo MunozAlvarez Organizations: Broadcom, Jim Cramer's Charitable Trust, Devices, AMD, Moore's, Microsoft, Broadcom's, VMWare, VMware, Nvidia, AI Foundation, U.S . Federal Trade Commission, Intel, Tower Semiconductor, ARM, CNBC, View, Getty Locations: China
Here are three major reasons why Nvidia stock — which has amore than tripled so far in 2023 — has not finished its climb, justifying our $600-per-share price target. That's because Wall Street's earnings estimates have been revised much higher than Nvidia stock's more-than-3% post-earnings gain. A forward price-to-earnings (P/E) ratio is calculated by dividing a company's stock price by its annual earnings-per-share (EPS). Using Thursday's midday price of roughly $486 per share, Nvidia stock trades at a 46.6 P/E, based on fiscal year 2024 estimates. That makes Nvidia's stock rally largely an earnings-driven story, not an ascent rooted in multiple expansion.
Persons: Nvidia's, , Wall, Jensen Huang, Huang, Colette Kress, Grace Hopper Superchip, Jim Cramer's, Jim Cramer, Jim, Justin Sullivan Organizations: Nvidia, Micro Devices, Intel, Microsoft, Oracle, Consumer, IDC, Broadcom, AMD, Jim Cramer's Charitable, CNBC Locations: Wednesday's, Santa Clara , California
"No one is coming for Nvidia on AI, period, any time soon," Stifel analyst Ruben Roy told CNBC in an interview Wednesday. The new version of Grace Hopper primarily delivers improvements in memory capacity and bandwidth compared with the first-generation product. In practice, improving the memory capacity and bandwidth of the Grace Hopper Superchip should help AI applications run more efficiently and smoothly. Volume production of the improved Grace Hopper Superchip is expected in the second quarter of 2024, according to Nvidia. Open-source software Nvidia's closed-source CUDA software platform – along with a library of pre-trained AI models — has helped establish the company's AI dominance.
Persons: it's, Grace Hopper Superchip, Ruben Roy, Grace Hopper, ChatGPT, Roy, Hopper, Nvidia, Pat Gelsinger, Nvidia's, Omniverse, Jim Cramer, Nvidia hasn't, Jim, enabler —, Jim Cramer's, Jensen Huang, Walid Berrazeg Organizations: Nvidia, Club, Devices, CNBC, Microsoft, Bank of America, AMD, Nvidia DGX, Intel, BMW, Computer, Getty Locations: Taipei
Nvidia's (NVDA) stock has more room to run higher, CNBC's Jim Cramer said Wednesday, as he digested the $1 trillion chipmaker's latest artificial intelligence announcements. The CNBC Investing Club is working on a broader story about Nvidia's latest AI announcements and why Jim believes this stock can still move higher from here. As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB.
Persons: CNBC's Jim Cramer, Grace Hopper Superchip, Cramer, Jim, Jim Cramer's, Jim Cramer Organizations: Nvidia, CNBC, Club
Nvidia launches new AI chip configuration
  + stars: | 2023-08-08 | by ( Max A. Cherney | ) www.reuters.com   time to read: +2 min
REUTERS/Robert Galbraith/File PhotoAug 8 (Reuters) - Nvidia (NVDA.O) announced a new configuration on Tuesday for its advanced artificial intelligence chips that is designed to speed generative AI applications. The configuration is optimized to perform AI inference functions that effectively power generative AI applications such as ChatGPT. Nvidia's Grace Hopper Superchip design stitches together one of the company's H100 graphics processing units (GPU) with an Nvidia-designed central processor. The underlying AI models that power the generative AI apps that are capable of producing human-like text and images continue to grow in size. Nvidia plans to sell two flavors: a version that includes two chips that customers can integrate into systems, and a complete server system that combines two Grace Hopper designs.
Persons: Robert Galbraith, Grace Hopper Superchip, Ian Buck, Nvidia's Grace Hopper, Buck, Grace Hopper, Max A, Marguerita Choy Organizations: Nvidia, REUTERS, Thomson Locations: Santa Clara , California, San Francisco
TAIPEI, TAIWAN - 2023/05/29: Nvidia president and CEO Jensen Huang speaks at a keynote presentation while holding the Grace Hopper superchip at COMPUTEX. He says anyone can be a programmer, just by speaking to the computer, and the desired functions will come forth. By generative artificial intelligence, Huang said during his keynote speech at the Computex forum in Taiwan on Monday. At his first public keynote since the pandemic, Huang introduced a new AI supercomputer platform called DGX GH200, aimed at building generative AI models. Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data.
Nvidia achieved a market cap above $1 trillion for the first time on Tuesday. Nvidia's latest leg up was driven by a series of new AI products and partnerships announced over the weekend. Nvidia rose as much as 7.7% to $419.38 on Tuesday, giving it a market cap of $1.036 trillion and making it the first chipmaker to touch a $1 trillion market capitalization. Shares finished the day higher by 3% at $401.11, logging a market cap of $990 billion. Shares of Nvidia soared last week after the company's first-quarter earnings and second-quarter guidance trounced analyst expectations.
Persons: , Google's Bard, Grace Hopper superchips, Jensen Huang Organizations: Nvidia, Service, Investors, Microsoft, Saudi Aramco, WPP Locations: Taipei
In the back half of 2023, analysts expect an acceleration in capex spending in both the U.S., "and potentially in China." Also supportive of AMD shares, the analysts believe that the PC inventory glut should bottom out in the current quarter. QCOM YTD mountain Qualcomm (QCOM) YTD peformance One key driver of end market improvement is headwinds in China turning to tailwinds in the second half of the year. We continue to hold that view and note again that much of the Barclays analysts' optimism is predicated on their second-half 2023 view. (Jim Cramer's Charitable Trust is long QCOM, AMD, NVDA, EMR, CAT.
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