Latest news with #NvidiaGTC2025
Yahoo
25-03-2025
- Business
- Yahoo
Cognizant and Nvidia collaborate to accelerate AI adoption
Cognizant has announced a strategic collaboration with AI chipmaker Nvidia aiming to accelerate the adoption of AI technologies across various industries. The partnership will leverage Nvidia's advanced AI capabilities to drive innovation in five key areas. During the Nvidia GTC 2025 event, Cognizant outlined its plans to enhance its offerings in enterprise AI agents, industry-specific large language models (LLMs), digital twins for smart manufacturing, foundational infrastructure for AI, and the functionality of its Neuro AI platform. Cognizant's Neuro AI Multi-Agent Accelerator, powered by Nvidia's NIM microservices, is set to enable clients to rapidly build and scale multi-agent AI systems. These systems will support adaptive operations, real-time decision-making, and personalised customer experiences. The platform also allows seamless integration of third-party agent networks and most LLMs, providing greater flexibility for businesses adopting AI solutions. The partnership's primary goal is to integrate Nvidia's AI technology across Cognizant's enterprise technology stack, with active client engagements underway in multiple industries. The partnership integrates Nvidia's AI technologies such as Nvidia NIM microservices, Nvidia NeMo, Nvidia Omniverse, and Nvidia RAPIDS, into Cognizant's AI ecosystem to deliver scalable solutions. Additionally, Cognizant is developing multi-agent systems with integrated Nvidia technologies, including Nvidia Blueprints and Nvidia Riva speech AI. The systems are designed with modularity and adaptability, incorporating security guardrails and human oversight. Industry-specific use cases include automated insurance claims processing, appeals and grievances handling, and supply chain management. Cognizant Core Technologies and Insights president Annadurai Elango said: 'We continue to see businesses navigating the transition from proofs of concept to larger-scale implementations of enterprise AI. 'Through our collaboration with Nvidia, Cognizant will be building and deploying solutions that accelerate this process and scale AI value faster for clients through integration of foundational AI elements, platforms and solutions.' In October 2024, Cognizant partnered with pharmaceutical company Alnylam Pharmaceuticals to serve as a primary technology services provider to scale IT operations. "Cognizant and Nvidia collaborate to accelerate AI adoption" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
Yahoo
25-03-2025
- Business
- Yahoo
Quantum Computing: Tech's Next Giant Leap?
(2:00) - Key Takeaways From Nvidia GTC 2025 (6:50) - What To Learn From Nvidia's Quantum Day Events (13:30) - What Investors Need To Know About D-wave Quantum Computing (19:00) - What Exactly Is Quantum Computing And What Are The Recent Developments? (30:30) - What Impact Will Quantum Computing Have On AI? (35:00) - Where Should Investors Look To Gain Exposure To Quantum Computing? (41:10) - Episode Roundup: QUBT, QBTS, AONQ, RGTI, QTUM Podcast@ In this episode of ETF Spotlight, I speak with Zacks Senior Stock Strategist Kevin Cook about quantum computing. Quantum stocks have been in focus lately as investors speculate on the next big thing in tech after AI. NVIDIA's Quantum Day & Jensen's Mea Culpa NVIDIA NVDA held its first-ever Quantum Day at GTC 2025 last week, where CEO Jensen Huang announced the launch of its Accelerated Quantum Research Center, set to begin operations later this year. In January, quantum computing stocks plunged after Jensen predicted that useful quantum computers were still 15–20 years away. D-Wave QBTS, whose CEO had publicly challenged Jensen's comments, claimed to have achieved "quantum supremacy." The company specializes in quantum annealing, which is particularly effective for applications like materials simulation. D-Wave demonstrated that its latest quantum machine simulated a complex magnetic material in just 20 minutes—potentially the first practical application of quantum computing, with significant implications for industrial material development. However, some physicists dispute this claim. Microsoft & Amazon Tout Their Chips After Google's Willow Microsoft MSFT recently unveiled Majorana 1, the world's first quantum processor powered by topological qubits. CEO Satya Nadella believes Majorana will enable the creation of a truly meaningful quantum computer not in decades, but in years. Topological qubits are exceptionally fast, digitally controllable, and scalable. Microsoft claims that these qubits can be integrated into a single chip—small enough to fit in the palm of one's hand—yet capable of scaling to a million qubits. Just a week after Microsoft's announcement, Amazon AMZN introduced its prototype, Ocelot, which employs a new approach to quantum error correction by leveraging specialized quantum bits called "cat qubits." Earlier in December, Google GOOG revealed that its new computer chip, Willow, can perform calculations in under five minutes that would take one of the world's most powerful supercomputers almost an eternity. What is Quantum Computing? Traditional computers use binary digits, or bits, which can represent only 0 or 1. Quantum computers, on the other hand, use quantum bits, or qubits. Qubits leverage quantum effects such as superposition, where particles can exist in multiple states simultaneously, and entanglement, where particles remain interconnected even when physically separated. Thanks to these properties, quantum computers can process information at exponentially faster rates than classical computers, with the potential to revolutionize numerous industries. However, qubits are fragile and can maintain their quantum states for only tiny fractions of a second, meaning any information they store is quickly lost. Additionally, they must be kept at extremely cold temperatures. How to Invest in the Theme Some of the world's largest tech companies—including Microsoft, NVIDIA, Amazon, and IBM—along with many startups, are actively developing quantum computers or advancing quantum technologies. Governments worldwide are also investing billions in this sector. Smaller pure-play quantum companies like Rigetti Computing RGTI, D-Wave Quantum QBTS, and IonQ IONQ had seen their stock prices skyrocket following Google's announcement. However, these companies may not be profitable anytime soon, and their shares tend to trade largely on headlines. In his report—Beyond AI: The Quantum Leap in Computing Power—Kevin explains why NVIDIA is his top pick for capitalizing on this theme. He also wanted me to let you know that he forgot to mention that while many quantum computing technologies rely on ultra-low temperatures for superconducting operations, IonQ's trapped-ion platform operates at room temperature and is rack-based, similar to classical computing. CEO Peter Chapman described it as: 'We still use a classical computer... it's just a quantum chip at the center.' Since it's too early to predict winners, a diversified approach via ETFs makes sense. The Defiance Quantum ETF QTUM invests in the global quantum computing and machine learning industries. Tune in to the podcast to learn more. Make sure to be on the lookout for the next edition of the ETF Spotlight and remember to subscribe! If you have any comments or questions, please email podcast@ Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Alphabet Inc. (GOOG) : Free Stock Analysis Report Inc. (AMZN) : Free Stock Analysis Report Microsoft Corporation (MSFT) : Free Stock Analysis Report NVIDIA Corporation (NVDA) : Free Stock Analysis Report Defiance Quantum ETF (QTUM): ETF Research Reports IonQ, Inc. (IONQ) : Free Stock Analysis Report Rigetti Computing, Inc. (RGTI) : Free Stock Analysis Report D-Wave Quantum Inc. (QBTS) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Sign in to access your portfolio
Forbes
24-03-2025
- Business
- Forbes
Nvidia CEO Jensen Huang Presents Without Rehearsing. Should You?
SAN JOSE, CALIFORNIA - MARCH 18: Nvidia CEO Jensen Huang delivers the keynote address during the ... More Nvidia GTC 2025 at SAP Center on March 18, 2025 in San Jose, California. (Photo by) Nvidia CEO Jensen Huang delivered a much-anticipated keynote at GTC 2025, the company's annual developers conference, and did so 'without a net.' Huang's bold statement set the tone for a brilliant presentation which he famously does not rehearse. 'There are no scripts, there's no teleprompter,' Huang told the 25,000 attendees who had gathered at a San Jose stadium. For the next two hours Huang unveiled the next generation of groundbreaking chips that will power artificial intelligence. The New York Times dubbed Nvidia's conference 'The Super Bowl of A.I.' But Huang, unlike athletes who practice relentlessly for the big game, chooses not to rehearse for the spotlight. Instead, he prefers a 'grip it and rip it' style of presenting. If you watch the presentation, even part of it, you'd think Huang had practiced for weeks. Huang delivered the presentation, demos, slides, and messages as effortlessly as someone who's rehearsed for a TED Talk hundreds of times—and Huang covered a lot more ground than speakers do in an 18-minute TED Talk. Yes, Huang's approach looks authentic, casual, and conversational—a difficult feat to achieve in any professional business presentation, let alone a presentation that takes a deep dive into extraordinarily complex technology. Huang easily shifts between explaining complex technology and interacting with AI-powered robots on stage. But just because Huang doesn't rehearse, should you follow his lead? Don't even think about it. Although Huang may not 'rehearse' in the traditional sense of the word, his keynotes are not as 'unscripted' as they appear. And that's because Huang knows the material better than anyone. Before you present 'without a net,' remember that Huang has been leading the company he co-founded for over thirty years, making him one of the longest-serving CEOs in America. And it's nearly impossible to top his work ethic. Huang is famous in Silicon Valley for keeping a grueling schedule of fourteen-hour days, seven days a week. In short, he knows his stuff. And he knows what's coming next in the presentation. According to Nvidia's marketing chief, Huang worked with product divisions for months before the conference and collaborated with marketing on slides and demonstrations. Huang doesn't need a teleprompter because his mind is the teleprompter. Huang can speak for hours about any one of the technologies (or slides) the company makes. The only thing he needs to pay attention to is the time, so he doesn't run into the other scheduled events. Huang's deep knowledge of the material allows him to speak 'off the cuff' about the history of technology cycles, the power of new chips, and the future of artificial intelligence. 'This slide is genuinely my favorite,' Huang said about 23 minutes into the keynote. The slide represented the company's core strategy and long-term vision, which Huang had been preaching for twenty years since Nvidia's first developers conference. In other words, he's practiced it for twenty years. So, the next time you present a newly created slide that you've rehearsed twice, remember that Huang has been 'presenting' his vision for decades. Most speakers shouldn't attempt Huang's 'grip it and rip it' style because if they don't share Huang's deep subject matter expertise and comfort with the message, the result will be a rambling, convoluted, and confusing presentation. However, with a little practice, you can make even the most complex information engaging and conversational. According to research studies, practicing a presentation until you've internalized every slide will alleviate anxiety. If you feel confident about the content, you'll start enjoying the process instead of dreading it. Your audience will notice, too. Rehearsing your presentation again and again—I recommend at least ten times before the actual event— can lead to several positive outcomes, in addition to building confidence and reducing anxiety. Your pacing will become more natural, allowing you to speak conversationally rather than trying to memorize your lines. The last point is critical. Using too many filler words is a sure sign a speaker failed to practice. For example, Jensen Huang's keynote was remarkably clear of fillers. I put the transcript of the keynote into a tool that analyzes grammar, and it returned just ten clear instances of 'um' or 'ah' in the entire 2-hour, 11-minute presentation. For context, one study found that college professors use about 3 to 5 filler words per minute in a typical lecture. That would translate into nearly 400 fillers in Huang's keynote. Filler words are not inherently bad, of course. They're part of our natural conversation. But studies have found that too many fillers disrupt speech and leave an unfavorable impression on the audience. Jensen Huang's unique presentation style works for him and it's highly engaging, but it's unlikely to work for you--unless you have thirty years of product knowledge. But with just enough practice you, too, can appear authentic, knowledgeable, and engaging in your next presentation.
Forbes
20-03-2025
- Automotive
- Forbes
4 Key Takeaways From NVIDIA's GTC 2025 That Will Reshape Your Business
SAN JOSE, CALIFORNIA - MARCH 18: Nvidia CEO Jensen Huang delivers the keynote address with a robot ... More during the Nvidia GTC 2025 at SAP Center on March 18, 2025 in San Jose, California. The annual Nvidia GTC conference runs through March 20th. (Photo by) NVIDIA's GTC 2025 wasn't just another AI conference, it was a glimpse into the future of intelligence and automation, revealing how businesses will have to change, create, rethink, and revamp their approaches. The event, dubbed the "Super Bowl of AI," highlighted a fundamental change: AI is not just a tool that people are using to write emails, it is starting to become an intrinsic part of how the world does business. Jensen Huang, CEO of NVIDIA, envisioned a world where AI doesn't just write content or perform routine tasks, but sees, understands, and acts in the physical world. This progression, from generative AI, to agentic AI, to physical AI, has profound implications for every industry. Nvidia CEO Jensen Huang speaks about new products as he delivers the keynote address at the GTC AI ... More Conference in San Jose, California, on March 18, 2025. (Photo by JOSH EDELSON / AFP) (Photo by JOSH EDELSON/AFP via Getty Images) For businesses that want to stay one step ahead, here are four important takeaways from GTC 2025 to keep in mind as you plan the future of your company and how it veiws and embarces AI and the convergence of different technologies. For years, AI has been living in software—chatbots, automation tools, and content generators. But GTC 2025 revealed: AI is entering the physical world. If your company's AI plan is limited to digital automation, it's time to think again. Begin to consider how AI-based robotics, multimodal assistants, and spatial AI can change the way you do business, interact with customers, and build your workforce. One of the biggest changes that is occurring in the present time is multimodal AI – artificial intelligence that works with many types of data at once, including text, video, speech, 3D, and real-time sensors. During GTC 2025, Huang demonstrated how NVIDIA's newest models will produce more contextual, intelligent, and predictive AI systems that can: Organizations that embed modal AI in their decision-making and customer journey will have a competitive edge. In finance, healthcare, retail, or industrial settings, it is the AI that can 'see, hear, understand and act' that will lead to better business decisions. While traditional AI has been deployed on the cloud, GTC 2025 marked the shift to edge AI, where AI runs on devices and networks directly, not through the cloud. Why does this matter for businesses? Here are a few reasons: You might want to review your company's AI infrastructure and possibly think, as much as that is possible today, how you can future-proof your business by investing in on-device AI, 5G/6G connectivity, and real time data processing to become a leader of the pack rather than a follower. SAN JOSE, CALIFORNIA - MARCH 18: Nvidia CEO Jensen Huang delivers a keynote address during the ... More Nvidia GTC Artificial Intelligence Conference at SAP Center on March 18, 2024 in San Jose, California. The developer conference is expected to highlight new chip, software, and AI processor technology. (Photo by) One of the most worrying and pressing issues that many in the business world will be faced with is the potential of job loss caused by AI. But Huang told a different story during GTC: Humans are not being replaced by AI, but enhanced by it. Here are three things The smartest companies will not only implement AI but also incorporate it into the training of the employees and management and even use other technologies like XR to. help workers become more efficient and get upskilled faster. Those who embrace AI augmentation will gain greater performance, decision-making, and flexible employees. SAN JOSE, CALIFORNIA - MARCH 18: Nvidia CEO Jensen Huang delivers the keynote address during the ... More Nvidia GTC 2025 at SAP Center on March 18, 2025 in San Jose, California. The annual Nvidia GTC conference runs through March 20th. (Photo by) NVIDIA's developer's conference helped shed light on the current and future state of AI. The organizations that pay attention and understand the implications of how AI is slowly expanding into the phsycial world and start exploring how to implement multimodal AI, edge computing, and robotcis will be the ones that will determine the future of industries. One of the most important questions that business leaders can ask themselves today is: Are we prepared? The companies that will thrive in this AI era will be those that develop fluid strategies, deploy solutions, test and iterate frequently, and embrace AI as a strategic tool. The next 12-24 months will determine who could be the leaders of this era and who will be the followers. Which one are you?
Korea Herald
20-03-2025
- Business
- Korea Herald
Nvidia CEO praises Samsung chips but stays silent on HBM deal
Nvidia CEO Jensen Huang praised Samsung Electronics as an excellent chip manufacturer but avoided giving a clear answer about the company's role in supplying cutting-edge high-bandwidth memory chips, raising concerns over Samsung's prospects in securing a major AI client. During a press conference held on the sidelines of the Nvidia GTC 2025 developers conference in San Jose on Wednesday, Huang said he expects Samsung to play an "important role." However, when asked whether Samsung's latest HBM3E chips will be used in Nvidia's next-generation graphics architecture, Blackwell Ultra, Huang refrained from giving a direct answer. Instead, he explained that Samsung has the capability to integrate the base die of HBM with application-specific integrated circuits and memory, a key skill required for manufacturing leading-edge AI chips. Huang's ambiguous response has fueled speculation over whether Samsung can secure Nvidia — one of the industry's largest buyers of high-value HBM chips — as a client. Despite concerns, Samsung Electronics' shares remained strong on Thursday, continuing their upward trend as the chair and top executives reaffirmed their commitment to boosting stock growth. Industry sources revealed that Samsung Chair Lee Jae-yong recently urged employees to adopt a 'do-or-die' mentality to reclaim the company's competitive edge, acknowledging the challenges in its key business sectors. 'What matters is not the crisis itself, but how we respond to it. We must invest in the future, even if it means sacrificing immediate profits,' Lee reportedly said in a prerecorded video message shown to around 2,000 Samsung executives, delivering a rare and direct statement. Samsung's top executives have also pledged to make a "painstaking effort" to drive a market rebound. Jun Young-hyun, head of Samsung's semiconductor business, confirmed that the company will begin mass production of its 12-layer HBM3E chips in the second quarter or the latter half of this year, while next-generation HBM4 chips are also set to enter mass production in the second half of 2025. As of 2:30 p.m. Thursday, Samsung Electronics' shares rose 2.56 percent to 60,000 won ($41), marking a second consecutive day of gains. For Samsung to fully capitalize on its 12-layer HBM3E chips, it needs to secure a supply deal with Nvidia for Blackwell Ultra, which Huang announced will launch in the second half of this year. At GTC 2025, Huang also unveiled Vera Rubin, Nvidia's next graphics architecture, scheduled for release in late 2026. Samsung is currently trailing behind its smaller rival, SK hynix, in the HBM race. SK hynix is already supplying 12-layer HBM3E chips to customers and showcased a prototype of its next-generation 12-layer HBM4 at GTC 2025. Meanwhile, Huang downplayed concerns over the Trump administration's tariffs, stating that they will not have a significant impact on Nvidia's financial performance in the short term. "We have a really agile network of suppliers; they are not just in Taiwan or Mexico or Vietnam," Huang said during the press conference. "If we add onshore manufacturing by the end of this year, we should be quite good." Us President Donald Trump has threatened to impose additional tariffs on imported computer chips, continuing his protectionist trade policies targeting major trading partners like Mexico, Canada, and China since taking office in January. Huang also emphasized Nvidia's evolving business model, stating that the company no longer considers itself a chipmaker, but an infrastructure supplier.
