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Nvidia (NVDA) had a down week. First such occurrence since April, and only the 4th such instance since the beginning of the year (excluding a minor blip in Jan). The S&P 500 has had almost twice the number of down weeks. Chartists are seeing new patterns, fundamental analysts are seeing insiders selling. Buy the dip? wait for it to fall a bit more? The question you ask yourself is, can the AI chip wave rise higher in the short term? what are the drivers of growth and what are the risks. Or like Dirty Harry asked, Do you feel lucky? (incidentally the movie released after the "Nixon Shock" in 1971. ) Always remember Charlie Munger's quote "Knowing that you don’t know is more useful than being brilliant". Source: Koyfin #NVDA #nvidia #Clinteastwood #SPX #markets

NVIDIA just raked in a whopping $30 billion last quarter, thanks to the AI industry’s #GPU addiction. These GPUs are the lifeblood of AI, crunching math problems like it's a sport. Nvidia is the reigning champ, but a new player, TensorWave, wants to break up the party by offering AMD chips instead. Founded after a pickleball match (seriously), TensorWave's mission is to end Nvidia’s monopoly, promising cheaper prices and better AI performance with AMD’s MI300X. Based in Las Vegas (because why not gamble?), they’ve already hit $3 million in revenue and are aiming for $25 million. Investors are all-in, too. It’s David vs. Goliath, but with a lot more maths. Jeff Tatarchuk 🌊Darrick Horton 🌊 #datacentre #aichips #aiforall

Nvidia's AI dominance is more than the Chips https://lnkd.in/gtuaujYV Many think Nvidia's far-ahead leadership in AI is purely about their cutting-edge GPUs. But the real secret is their CUDA software platform that has been a true game-changer. CUDA has created a powerful ecosystem on AI (and cryptocurrency) that competitors like Intel, AMD or even Google struggle to match. Currently 4 million+ global developers rely on CUDA. Its nearly 20 years of development and refinement creates seamless integration with NVIDIA's GPUs. In fact, NVIDIA now employs more software engineers than hardware engineers, highlighting the critical role of software in their strategy. So what we should learn, as Product Leaders, from Nvidia: 1️⃣ End-to-End Solutions: Nvidia's holistic hardware - software approach shows the power of creating integrated solutions, not just several disjointed products. 2️⃣ Continuous Improvement: CUDA's success comes from years of iteration based on user feedback. It even started from a simple goal : how to make their GPU chips userful for different use cases outside of games and 3D rendering. 3️⃣ User Ecosystem: Building a loyal user base can create a significant competitive moat. As PMs, how can we apply these lessons to create more robust, ecosystem-driven products?

AMD is getting some steam on Nvidia for the AI market top gun. AMD has been making significant strides to challenge Nvidia's dominance in the AI market Strong product lineup: AMD's Instinct MI series GPUs have shown impressive performance in AI workloads, particularly in areas like training large language models. Competitive pricing: AMD has often offered more competitive pricing compared to Nvidia, making their products attractive to budget-conscious customers and data centers. Open ecosystem: AMD's focus on open standards and software ecosystems has helped to broaden its appeal and attract developers.

...and Cerebras joins the Ivy league of AI chips... While Cerebras offers superior performance in specific high-end AI tasks, Nvidia provides versatility and a strong ecosystem. The choice between Cerebras and Nvidia would depend on specific use cases and requirements. For organizations dealing with extremely large AI models where inference speed is critical, Cerebras could be the better choice. Meanwhile, Nvidia remains a strong contender across a wide range of applications, providing flexibility and reliability with a comprehensive software support ecosystem. https://lnkd.in/dafFRvwp

🚫 Nvidia flags further warning signs - ForexLive Hey everyone, just came across this latest update from Nvidia that might impact the market. It seems like there are some warning signs to watch out for. Make sure to stay informed about how this could affect your investments. Let's keep an eye on this one! #Nvidia #ForexLive #MarketUpdate https://ift.tt/XBtrQzh

NVIDIA CEO Jensen Huang shares his fish pond metaphor for thinking about market size Jensen explains that the single purpose of NVIDIA is to build an AI platform that can be used anywhere, and he draws the distinction between “market makers” and “share takers”: “Not one day does this company talk about market share. All we’re talking about is: How do we create the next thing? How do we take that flywheel that used to take a year and crank it down to a month?” He continues: “The only question is whether that mission is necessary. All great companies ought to have that at their core - it’s about what you are doing. Is it necessary? Is it valuable? Is it impactful? Does it help people? If you have a sole purpose and your purpose is meaningful and your mission is dear to you and dear to everybody else, then you can be transparent.” Jensen cites NVIDIA sharing its roadmap with hyperscalers like Azure and AWS who are building their own ASIC chips. He doesn’t worry about market share. His only goal is to invent new markets, which he compares to fish ponds: “Companies are limited by the size of the fish pond. A goldfish can only be so big. So the question is, what is our fish pond? And that requires a lot of imagination. It’s hard to figure that out looking backwards and trying to take share - ‘share takers’ can only be so big. But market makers can be quite large.” This has been NVIDIA’s goal from the very beginning of the company when they created the 3D gaming PC market. And it’s rational - inventing new “fish ponds” is likely the only way for them to 10x their $3 trillion market cap. Video source: Bg2 Pod (2024)

🌟 From Humble Beginnings to Global Impact: The Inspirational Journey of Jensen Huang and NVIDIA 🌟 In the heart of Silicon Valley's tech revolution, a visionary leader embarked on a journey that would forever change the landscape of computing. This is the story of Jensen Huang, NVIDIA's co-founder, and CEO, whose unwavering belief in the power of innovation has propelled NVIDIA to become the world's third-largest company, a titan in artificial intelligence (AI) and computing. A Leap of Faith into the Unknown 🚀 Jensen Huang's journey began with a bold decision to leave LSI Logic, driven by the encouragement of his mentor, Don Valentine. It was a leap of faith, stepping into the unknown, driven by an entrepreneurial spirit that saw beyond the present, envisioning a future where technology could transform the world. The Vision of Specialized Computing 💡 At a time when the tech world revolved around central processing units, NVIDIA dared to focus on graphics processing units (GPUs) - a decision that would establish NVIDIA as a leader in high-performance computing. This focus on specialized computing was not just strategic; it was a testament to NVIDIA's innovative spirit, foreseeing the pivotal role of GPUs in the evolution of computing and AI. Embracing First Principles Thinking 🧠 Jensen Huang's leadership philosophy is deeply rooted in first principles thinking. By breaking down complex problems into their fundamental elements, NVIDIA has continually pushed the boundaries of technology, leading the charge in AI and accelerated computing. This approach has fostered an environment where innovation thrives, driving NVIDIA's growth and success. Fostering a Culture of Collaboration 🤝 Under Huang's guidance, NVIDIA has cultivated a flat organizational structure that values collaboration and inclusivity. This culture has empowered employees at all levels to contribute ideas and participate in decision-making, embodying the belief that collective intelligence is key to driving innovation. Navigating the Ethical Frontiers of AI 🔒 As AI becomes more integrated into our lives, Jensen Huang has not shied away from the ethical and security implications of this powerful technology. A Legacy of Innovation and Visionary Leadership 🌟 Jensen Huang's story is one of passion, resilience, and unwavering faith in the power of innovation. From humble beginnings to leading NVIDIA in the AI revolution, Huang's journey is a testament to the transformative power of visionary leadership. His story inspires us to dream big, embrace innovation, and navigate the future with ethical integrity. As we stand on the brink of an AI-defined era, let's celebrate the remarkable journey of Jensen Huang and NVIDIA. Their legacy is a beacon of inspiration, illuminating the path for future generations to follow. #Innovation #Leadership #Technology #NVIDIA #JensenHuang #ArtificialIntelligence

NVIDIA CEO Jensen Huang shares his fish pond metaphor for thinking about market size Jensen explains that the single purpose of NVIDIA is to build an AI platform that can be used anywhere, and he draws the distinction between “market makers” and “share takers”: “Not one day does this company talk about market share. All we’re talking about is: How do we create the next thing? How do we take that flywheel that used to take a year and crank it down to a month?” He continues: “The only question is whether that mission is necessary. All great companies ought to have that at their core - it’s about what you are doing. Is it necessary? Is it valuable? Is it impactful? Does it help people? If you have a sole purpose and your purpose is meaningful and your mission is dear to you and dear to everybody else, then you can be transparent.” Jensen cites NVIDIA sharing its roadmap with hyperscalers like Azure and AWS who are building their own ASIC chips. He doesn’t worry about market share. His only goal is to invent new markets, which he compares to fish ponds: “Companies are limited by the size of the fish pond. A goldfish can only be so big. So the question is, what is our fish pond? And that requires a lot of imagination. It’s hard to figure that out looking backwards and trying to take share - ‘share takers’ can only be so big. But market makers can be quite large.” This has been NVIDIA’s goal from the very beginning of the company when they created the 3D gaming PC market. And it’s rational - inventing new “fish ponds” is likely the only way for them to 10x their $3 trillion market cap