Alexandr Wang

As Nvidia prepares to release its third-quarter earnings, CEO Jensen Huang faces three critical questions from investors. While the pressure isn’t as intense as in August, Huang is expected to address: 1. AI Market Health: Can Nvidia sustain its leadership in the generative AI boom? 2. Revenue Growth: How will Nvidia balance growth after a record-breaking year? 3. Supply Chain Stability: Are chip shortages impacting production or future outlook? Huang’s insights will likely set the tone for the tech industry as it navigates the evolving AI landscape. 📷 South China Morning Post #Nvidia #JensenHuang #AILeadership #EarningsReport #TechIndustry

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NVIDIA’s recent 10-for-1 stock split marks a significant milestone, reducing the share price and making it more accessible to retail investors. As Matt Amberson from Option Research & Technology Services (ORATS) points out, this move makes NVIDIA's stock 'a lot more reachable' for traders. This split comes after NVIDIA’s market valuation briefly eclipsed $3 trillion, positioning it just behind Apple. Major tech giants like Amazon, Google, and Microsoft are battling to secure NVIDIA’s advanced hardware to power their generative AI platforms. Under the leadership of CEO Jensen Huang, NVIDIA is set to release new products, including the Blackwell Ultra AI platform and Rubin platform. With competitors like AMD and Intel Corporation ramping up their AI hardware, and companies such as Meta and Tesla also eyeing NVIDIA's chips, the landscape is highly competitive. Nvidia’s broader market reach now includes government organizations and research institutions, signaling a robust future. What are your thoughts on Nvidia's strategic moves and their impact on the market? #Nvidia #StockSplit #AI #TechIndustry #Investing #Amazon #Google #Microsoft #Apple #AMD #Intel #Meta #Tesla #JensenHuang #MattAmberson https://lnkd.in/gRYwjRH7

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Autonomous vehicles are transforming the way we think about transport – but the road to widespread adoption comes with risks and legal implications. The recent surge in AI-powered technologies, like Waymo, highlights how autonomous vehicles are advancing rapidly. But as these technologies hit the road, we must also consider the critical role of risk management and legal frameworks to ensure their safe integration. From cybersecurity challenges to liability questions in the case of accidents, it’s clear that the transition to a future powered by autonomous transport is one that requires experts across fields – from law and public policy to risk management and data security – to shape a sustainable and secure energy future. Read more about Waymo and AVs in this recent Forbes article: https://lnkd.in/edtkBMaf #EnergyTransition #AutonomousVehicles #AVs Natalie Taylor Arya Shinde Prue Vines Rebecca Green

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Ready or not, AI is reshaping our entire digital world. While machine learning and large language models carry many benefits, some concerns remain about their impact on our online lives. UCLA Magazine breaks down the pros and cons in 'The AI Revolution': https://ucla.in/4e8jtYz

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https://lnkd.in/gd7mPbDC Getting a grip: “This is the year that people really realized that you can build general-purpose robots,” Carolina Parada, the leader of the robotics team at Google DeepMind, said recently. Good piece to appear in next week's New Yorker print edition.

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NVIDIA's founder didn't aim to change the world overnight. Instead, he focused on small, consistent wins that kept them in the game long enough to make a lasting impact. And look at them now-a tech phenomenon. founders, take note: Every "overnight success" takes years of work. You don't need to disrupt everything on day one. You don't need to change the world in a week. Focus on the long game. Win small, but win often. Stay in the game long enough, and success will follow. The longer you play, the bigger your success can be. P.S. For more innovation-related content, check out our newsletter

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At AAAI, Amazon scientists introduced a novel approach that significantly advances our ability to capture and model scenes with complex dynamics. Their work not only addresses previous limitations but also opens doors to new applications ranging from virtual reality to digital preservation: https://lnkd.in/e7FeKJnp #GenerativeAI #ComputerVision

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In a Silicon Valley culture known for “grindset” founders, Jensen Huang still manages to stand out. The NVIDIA chief executive told Stripe CEO Patrick Collison stripe earlier this year that he is either working, or thinking about work, every waking moment—and that he works seven days a week. “If you want to build something great, it’s not easy. You have to suffer, you have to struggle, you have to endeavor,” Huang said. “And there are no such things that are great, that are easy to do.” Well, no one doubts Huang has built something great. Under his leadership, Nvidia has positioned itself at the heart of the artificial intelligence boom. Yet it is far from certain that Nvidia will be able to hold on its market position as it faces new threats, not just from its old competitor AMD, but a host of well-funded new startups eager to grab a slice of the AI computing market, as well as from the internal AI chip efforts of the large cloud computing companies that are also its best customers. Despite its success, Huang himself remains acutely aware that Nvidia’s leadership position could prove fleeting—which may explain his relentless work ethic. “I do everything I can not to go out of business,” he told a magazine reporter last year. “I do everything I can not to fail.” Read more from the #Fortune100MostPowerful People list: https://lnkd.in/ejuPkRZd

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ImpacterAI Joins NVIDIA Inception ImpacterAI has joined NVIDIA Inception, a program that nurtures startups revolutionizing industries with technological advancements. ImpacterAI is focused on transforming the sales industry with AI-powered solutions that automate human-like interactions through voice, text, and email, enabling businesses to scale engagement and close deals faster. Joining NVIDIA Inception will help Impacter AI achieve key milestones, including optimizing AI models for real-time communication and scaling our product for global markets. Through access to NVIDIA’s go-to-market support, advanced training, and cutting-edge technology, we will be able to accelerate product development and refine our AI capabilities. The program also provides us the opportunity to collaborate with industry-leading experts and other AI-driven organizations. “We are excited to join NVIDIA Inception, as it aligns perfectly with our mission to revolutionize sales automation. The support from NVIDIA will allow us to enhance our AI models and bring scalable, personalized sales interactions to businesses worldwide,” said Manny Fernandez, CEO/Co-Founder of ImpacterAI. NVIDIA Inception helps startups during critical stages of product development, prototyping, and deployment. Every Inception member gets a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, preferred pricing on NVIDIA hardware and software, and technological assistance, which provides startups with the fundamental tools to help them grow.

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The recent divergence between Nvidia's surging stock price and the decline in AI-linked crypto tokens is intriguing. While Nvidia's strong performance reflects growing confidence in AI technologies, the dip in AI crypto tokens suggests market sentiment may differ in the crypto space. However, as trader Matthew Hyland suggests, this divergence might not last long. It's important for investors to watch for potential shifts in market dynamics and sentiment. The relationship between traditional tech stocks and crypto assets remains complex and worth monitoring closely. #AI #Crypto #Nvidia #Investing #MarketTrends #Blockchain https://lnkd.in/g6qEjy6C

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People are not talking about these AI chip startups enough. If you missed out investing in Nvidia, you might want to look into these startups: Etched: Co-founded by Gavin Uberti, Robert W., and Chris Zhu, Etched specializes in AI accelerator chips for large language models. Their latest innovation, the Sohu chip, embeds transformer architecture into silicon for superior speed and cost efficiency compared to GPUs. Tenstorrent: Co-founded by Ivan Hamer, Ljubisa Bajic, and Milos Trajkovic, Tenstorrent develops high-performance AI processors focused on scalable and efficient deep learning training and inference. Axelera AI: Co-founded by Evangelos Eleftheriou and Fabrizio Del Maffeo, Axelera AI specializes in high-performance AI hardware for edge computing, particularly excelling in computer vision applications. Their standout feature is the Metis AI Processing Unit. Recogni: Co-founded by Ashwini Choudhary, Eugene Feinberg, Gilles Backhus, R K Anand, and Valerie Chan, Recogni develops high-performance AI chips designed for edge computing applications, particularly focusing on enabling efficient and low-latency processing for autonomous vehicles and other real-time AI tasks. Groq: Founded by Jonathan Ross, Groq's specialty is their LPU Inference Engine, which delivers exceptional AI inference performance with low latency and high energy efficiency, outperforming traditional GPU-based systems. SambaNova Systems: Co-founded by Rodrigo Liang, Kunle Olukotun, and Christopher Ré, SambaNova Systems focuses on building advanced AI hardware and integrated software platforms for large-scale AI and machine learning workloads. Celestial AI: Co-founded by David Lazovsky, Michelle Tomasko, and Preet Virk, Celestial AI focuses on optical computing technology to enhance AI processing speed and energy efficiency significantly. Cerebras Systems: Co-founded by Andrew Feldman, Gary Lauterbach, Michael James, Sean Lie, and Jean-Philippe Fricker, Cerebras Systems specializes in creating ultra-large AI processors to accelerate deep learning tasks. They design the world’s largest computer chip, the Wafer-Scale Engine, to drastically improve AI model training performance. So chips are hot right now. Not the ones you snack on secretly in your office. The global AI chip market will gross $30 billion in 2024 and become a $300 billion industry in the next ten years. But, the highs come with some lows. Let’s not forget about the high-profile near-failures of AI chip startups like Mythic and Graphcore. Maybe one of these startups has the chance to be the next Nvidia.

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New episode of CRAFTED. released! Mario Rodriguez – SVP of Product at GitHub – believes that Copilot and other AI advances will unleash a wave of creativity and enable a billion people to be software developers. Four AI tips from Mario: - The craft of product management must change with AI, because building with non-deterministic AI is so tricky to get right. - When building with AI, run your scenario multiple times. Test your prompts repeatedly. You will get different responses each time. Are they all helpful to your user? - Invest in offline evaluation when building with AI or else you’ll have lots of problems later. - Prompt engineering is a real thing. Better prompts lead to better responses. Mario says he’s found short sentences and saying “please” help. He also shares ways people “hack” CoPilot to give it more context. Get the full episode with host Dan Blumberg! 📺 YouTube: https://bit.ly/3XAh43J 🎧 Apple: https://apple.co/4dRv7HM 🎧 Spotify: https://spoti.fi/3AVB2gp #DockerXCrafted

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RSUs and ESOPs got you pulling your hair this tax season? If you're an NVIDIA employee or employee of any company with Restricted Stock Units (RSUs) or Employee Stock Options (ESOPs), you know the unique challenges that come with filing taxes and planning for the future. As your company's stock continues to rise in value, the complexity of managing your equity compensation can be overwhelming. Trying to navigate the tax implications of your RSUs and ESOPs is no easy feat. Determining the right time to sell, understanding the impact on your tax bracket, and ensuring proper withholding can be a headache. And with the July 31st tax filing deadline looming, the stress is only mounting. But it doesn't have to be this way. With the help of Fabits, you can get dedicated support from a team of tax experts. They'll work with you one-on-one to: - Optimize your RSU and ESOP for maximum tax efficiency - Develop a customized tax planning strategy to minimize your liability  - Ensure proper withholding and estimated tax payments throughout the year - File your taxes accurately and on time, so you can avoid penalties and headaches By partnering with Fabits, you'll have the peace of mind knowing your equity compensation is being handled by professionals. You can focus on your work at NVIDIA, confident that your finances are in order. Don't let the stress of RSUs and ESOPs ruin your summer. Visit Fabits today to get the expert support you need to breeze through tax season and beyond: https://lnkd.in/dyAE-CUX Disclaimer: https://lnkd.in/dhEfbuhs

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In a fireside chat at SIGGRAPH 2024, NVIDIA founder and CEO Jensen Huang and Meta founder and CEO Mark Zuckerberg shared their insights on the potential of open source AI and virtual assistants. The conversation began with Zuckerberg announcing the launch of AI Studio, a new platform designed to democratise AI creation. This tool allows users to create, share, and discover AI characters, potentially opening up AI development to millions of creators and small businesses. Huang emphasised the ubiquity of AI in the future, stating, “Every single restaurant, every single website will probably, in the future, have these AIs …” Zuckerberg concurred, adding, “…just like every business has an email address and a website and a social media account, I think, in the future, every business is going to have an AI.” Read more at https://lnkd.in/gPJX7KPT #luxcerasia #ai #artificialintelligence #luxcer #ainews

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If you're interested in becoming an AI developer, what should you focus on in school? Charlie Clark, former senior software engineer at Squarespace and founder of Liinks, says that building “a solid trifecta of skills is crucial: math, algorithms, and curiosity for the unknown." “AI, at its core, is about turning data into insights, and that means you need a deep understanding of linear algebra, statistics, and calculus—not to memorize formulas but to know how models think under the hood. "Couple this with data structures and algorithms, and you can efficiently build systems that process data at scale. But beyond the textbooks, it’s about cultivating curiosity. "Take the time to experiment with projects outside your comfort zone, whether training a small neural network to recognize your cat or building a simple chatbot for your friends. AI isn’t a linear path—it’s a blend of discipline and creative exploration.” For more advice on becoming an AI engineer, read the article ⬇️ #DiceCareerAdvice #AIDevelopment #MachineLearning #AIEngineer #AIEducation

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Robotics startups are boosting their capabilities with the help of NVIDIA’s Isaac Sim, leveraging the cloud-based technologies offered by AWS.

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