Dave Lu’s Post

🚀 Supermicro: Pioneering the Future of AI Data Centers In the rapidly evolving landscape of artificial intelligence, Supermicro stands out as a formidable force, poised to challenge industry giants like Nvidia. With its innovative approach to AI data centers, characterized by speed, environmental consciousness, and flexibility, Supermicro has catapulted itself to a leading position in the global AI server market. 🌱 Sustainability Meets Innovation: Supermicro's use of liquid cooling techniques exemplifies its commitment to reducing the environmental impact of data centers. This, combined with their ability to rapidly deploy complex tech solutions, positions them as a preferred partner for tech behemoths like Meta and Amazon. 💡 Impressive Growth Trajectory: With earnings that are keeping pace with its share price gains, Supermicro's financial health appears robust. The company's share price has seen a meteoric rise, doubling this year alone. Moreover, their recent earnings report unveiled revenues of $3.66 billion, a 133% increase from the previous year, with projections exceeding analysts' expectations for 2024. 🤝 Strategic Partnerships: Supermicro's collaborations with Nvidia, AMD, and Intel on next-generation AI designs signal its ambition and strategic positioning within the industry. This not only strengthens its product offerings but also ensures it remains at the forefront of AI technology. 📈 A Value Proposition: Despite rapid growth, Supermicro's valuations remain attractive. With a projected P/E ratio significantly lower than the industry average for AI stocks, it presents a compelling case for investors looking for growth at a reasonable price. 💥 Navigating Risks: While the path ahead is promising, it's not without its challenges. Heightened competition and the potential for margin pressures necessitate strategic foresight. Yet, Supermicro's trajectory suggests it is well-equipped to navigate these waters. As we stand at the cusp of a new era in AI technology, Supermicro exemplifies the blend of innovation, strategic partnership, and environmental responsibility that will define the future of the industry. For investors and tech enthusiasts alike, Supermicro represents not just a company to watch, but a potential harbinger of the shifts to come in AI infrastructure. Read the full analysis on Wealthyhub in our Wealthyhood app! - Capital at risk. Our analyst insights are for information purposes only. #Supermicro #AI #DataCenters #Sustainability #Innovation #TechnologyInvesting #FutureOfAI

Definitely theres no doubt and stopping AI from shaping our future world, but there is something AI needs to run on, and the way i think of it, is some kind of currency, its called computing power. Over the next 5 years, AI applications will probably reach double-digit percentage of global computing power and its still wont be enough, the indicators of AI's power demand and supply suggest that the growth of AI outpaces supplies. My bet, invest in computation and tech industry, we are probably reaching an era of big tech boom. 🚀

Let’s explore the most intriguing AI news from this week!   🚀 Dell and Nvidia are partnering to build an AI factory for Elon Musk's xAI venture, also exploring Super Micro Computer's servers, boosting Dell and SMCI shares. Market reactions are analyzed. https://lnkd.in/dG7A2P-d 🛡️ Ilya Sutskever, OpenAI’s co-founder, is launching Safe Superintelligence Inc. (SSI), an AI startup focused on safety over commercial pressures. SSI aims to create a secure, powerful AI system. https://lnkd.in/gD_xH3sS 📈 Accenture forecasts strong 2024 revenue growth, driven by a 50% jump in generative AI business bookings. The AI demand surge helps companies automate operations, boosting productivity and cost savings. https://lnkd.in/dX-n_UrJ 🧠 Anthropic's Claude 3.5 Sonnet, a new AI model, matches GPT-4o on benchmarks. It excels in text, data, and coding tasks, and introduces the "Artifacts" interface for better content interaction. https://lnkd.in/dhxjmHfS 💊 Endiatx's PillBot, a robotic pill with advanced diagnostic capabilities, is entering clinical trials and heading for FDA review, aiming for a commercial launch by early 2026. https://lnkd.in/gHeS65CH 💼 A new Citi GPS report predicts AI could increase global banking profits to $2 trillion by 2028, transforming finance through automation, boosting productivity, and reshaping market dynamics. https://lnkd.in/dv_JXgez What's the most impressive AI innovation you've come across recently? Drop a comment and let us know! 💭 #AI #ArtificialIntelligence #TechNews #ScademyInsights #Technology #News

This is an #AI development to watch closely. The hyper-specialization of AI chips that can take on giants like #Nvidia is happening now. ------- Etched believes its team of 35 people can beat Nvidia, and this is why folks like Peter Thiel are backing Etched. .... Alex Handy, director of the Thiel Fellowship, said in a statement, “Investing in Etched is a strategic bet on the value of AI. Their chips tackle scalability issues that competitors fear to address, challenging the stagnation rampant among their peers. Etched’s founders embody the unconventional talent we support—dropping out of Harvard to take on the semiconductor industry. They did the hard work so the rest of Silicon Valley can continue programming peacefully, unburdened by worries about the underlying tech of whatever they’re working on.” .... Every large, homogenous computing market ends in specialized chips: networking, Bitcoin mining, high-frequency-trading algorithms are hard-coded into the silicon, Uberti said. These chips are orders of magnitude faster than GPUs. There are zero companies that use GPUs to mine Bitcoin – they simply can’t compete with specialized bitcoin miners. This will happen for AI. With trillions of dollars on the line, specialization is inevitable, Uberti said. .... “Our chips will not beat GPUs at most workloads – we can’t support them. However, for transformer inference (which powers every major “generative AI” product), we will clear the market. By specializing so much, our chips are an order of magnitude faster than even the next generation of Blackwell GPUs,” Wachen said. https://lnkd.in/gWQcBeRG.

ICYMI: Value Creation Amongst AI Tech Stack Companies is Growing Disproportionately Concentrated The #AI gold rush is well underway with stock market valuations of the leading AI tech stack bellwethers growing at a disproportionate rate to upstart competitors and companies looking for a niche of their own. The Economist recently conducted an analysis which was contained in the March 23rd issue. In brief, it drew analogies to the PC and smartphone eras where, despite a similar investment craze, Intel and Microsoft ultimately reigned supreme. Similarly, in the aforementioned smartphone era, Apple dominated the rest of the field. The article also drew analogies to the technologies that sprinted out of the gates in the early stages of preceding #tech booms. Not surprisingly, the PC go-go days of the 80s and 90s initially saw nuts and bolts categories like modem and router companies dominating the headlines. Today's AI frenzy is likewise seeing its own version of modems and routers....#chips, #servers and the #data centers that house them. For the most part, conventional wisdom suggests this market is largely sewn up by the already dominant players. Why? Startups and niche players are likely going to have a challenging time convincing enterprises to reconfigure existing hardware for unproven technology. It seems likely that the next leg of the race is going to take place amongst independent #model makers. The Economist has estimated that the collective value of the top 11 companies in this layer are now worth 5x more than what they were worth 16 months ago. The competition amongst this group is literally white hot as each company seeks to build and train models that possess significant intellectual property that can potentially confer tremendous value, in the form of competitive advantage, to clients. All the Intelligent Enterprise Leaders Alliance knows is that the landscape is changing fast as innovators race toward the development of exciting new models that can solve complex business problems both for industry, in general, and specific verticals and functions. This is the white space where we spend the majority of our research time and energy. Our next big initiative is the AI & #ML Tech Stack World Series in October 2024. Now would be a great time to lock up your spot to ensure you're staying abreast of all the latest developments. More information can be found at https://lnkd.in/esGDjH8C #ArtificialIntelligence Dell Technologies Together AI NVIDIAHugging Face Amazon Web Services (AWS) Google Cloud Security Microsoft Azure Intel Corporation Apple Groq Cerebras Systems Mistral AI OpenAI Nixtla Sequoia Capital Stephanie Zhan Hippocratic AI Inflection AI Source: The AI Pie: The Economist | 03/23/2024

Meanwhile, on the other side of the AI train-tracks... Building their entirely own AI/hardware ecosystem... Is Elon Musk, Grok, Dell, x-AI, and a few other partners. They are building an "AI-Factory" for their GROK generative AI model. I say "their very own" b/c Microsoft, Open AI, and now Apple are all going to be essentially running their AI ecosystems on the same physical hardware. NVIDIA and Sam Altman are out raising a trillion dollars, In order to build the biggest AI compute warehouse the world has ever seen. Looked like there was going to be no one else! This is one of the reasons Mr. Altman is going on about needing nuclear fusion. To power this AI factory. Now, X and GROK are gonna do the same, and build their AI compute warehouse. I've tried GROK. It comes along with an X Premium or Premium+ account. READ: OK-Corral, Gunsmoke, Bonanza. Whatever wild west analogy you might choose would be appropriate. (Probably b/c it's been trained on almost 20 years of Twitter user data!) One assumes that they will build this GROK "AI-Factory" with #Blackwell chips. I am not aware of anything competing with it at the moment. The new NVIDIA-led AI compute warehouse will be using them. That's been in the press already. Gotta keep up with the Jonses! That's why I think Elon Musk and xAI will use #Blackwell chips for their GROK model. But who knows? Elon Musk never really follows the pack anyway. #DELLandGROK 🤖 🔗 Full Announcement about Dell and xAI: https://lnkd.in/gkcrTjUt

Electricity Wars by Rich Karlgaard Last month, U.S. chip company NVIDIA announced a new AI computing platform called Blackwell. Thought AI was moving fast? Blackwell will run 30 times faster than Nvidia’s current best chip, said CEO Jensen Huang. (Huang, 61, worth an estimated $79 billion, was born in Tainan in southwestern Taiwan. He lived in Thailand from ages 5 to 9, and was sent to America to live with an uncle in the 1970s.) AI’s arrival on the world stage seems sudden. But the idea of artificial intelligence goes back to 1950, when British cryptographer Alan Turing proposed a test to see if a computer could pose as a human and fool observers. Since then, AI software has had many false dawns: AI startups briefly caught investor attention in the 1980s, 1990s and early 2000s. But until now, AI was more promise than practical. It was not ready for business. What changed? Two things. One was “transformer”—a new AI language model that emerged from Google Labs in 2017 and made today’s generative AI possible. Two is the sheer processing power of Nvidia’s chips. The new Blackwell chip has 208 billion transistors. Nvidia says Blackwell can support a 27 trillion parameter model, a gigantic leap in processing power from what’s available today. One of the first deployments of Blackwell will be in Malaysia, powering a supercomputer created by YTL Corporation Bhd , the Malaysian business group run by Francis Yeoh, who shares a $1.4 billion fortune with his siblings. Translation: Like going from steam ships to jet aircraft. Businesses will face rapid decline if they don’t adapt. Cities and countries, too. Think of how much the world has changed in the last five decades. China was reborn. Southeast Asia boomed. So have India, the Middle East, South America and now parts of sub-Saharan Africa. Communication is instant and affordable for most. Capital flows to opportunity, not perfectly, but amazingly well. Now imagine the last 50 years of change compressed into a decade or two. This is the world we now enter. Source : Forbes Full Article : https://lnkd.in/gx8njqi7

🌟 #AI's Inflection Point: Opportunity or Overvaluation? 💫 Is AI the Thing, after the Dotcom Bubble? 💥 With NVIDIA's value reaching an impressive $2 trillion the AI industry is buzzing with excitement. However not everyone is jumping on the bandwagon. Marc Rowan from Apollo Global Management, Inc. raises doubts comparing todays AI hype to the dotcom bubble. 💥 The potential of AI is undeniable. History tends to repeat itself. The dotcom era serves as a tale that enthusiasm can lead to downfall. As Nvidia's market value climbs higher it serves as a reminder to proceed with caution. 💥 An unexpected twist: While many are celebrating AIs achievements experienced investors like Rowan are issuing warnings. Could this be a moment for the tech sector? 💥 Factual insight: The top 10 companies in the S&P 500 are now considered overvalued than they were during the tech bubble of the mid 90s. This isn't speculation it appears. It reflects concerns raised by seasoned professionals. 💥 Trustworthy perspective: Torsten Sløk, an economist trained at Princeton University with, over 25 years of industry experience supports Rowans approach. Their viewpoints stem from market knowledge. 💥 Emotional touch: For those who endured the dotcom crash firsthand current market movements might trigger feelings of familiarity. The thought of history repeating itself can serve as a motivator for us to review our investments. Consider this scenario: Picture yourself during the dotcom boom riding high on the wave of advancements only to witness everything come crashing down. Now with AI taking center stage we find ourselves at a crossroads. Are we willing to learn from mistakes? For those, in leadership positions and innovation it's essential to strike a balance between optimism and caution. #AI #MarketTrends #Investment #Strategy #TechBoom https://lnkd.in/ek9zkf8d

NVIDIA boasts a $2.26T market cap. Will the computing company rise with AI to surpass a $10T market cap by 2030? Beth Kindig, I/O Fund thinks so. MarketWatch provided through Dow Jones on Morningstar https://lnkd.in/e-zfuFRm #ai #artificialintelligence #marketcap #nvidia #computing #tech #marketcap

Tech company earnings calls happened this week and NVIDIA, Intel, and AMD were bullish on the impact their AI chips are making on bottom lines. AI solutions for data centers are impressive, and the data center is currently a large market but analysts at OMDIA, Gartner, and others believe this market will pale in comparison to the trillion-dollar potential of Edge AI. Innovative companies focused on developing chips for this space believe AI at the Edge is going to be a revolution that impacts people around the world and I wholeheartedly agree! I envision a world where agricultural robots harvest more abundant crops effortlessly and farmers from different regions can communicate using AI-enabled voice translation on their mobile phones. I envision their children accessing learning through connected, affordable, low-powered, AI-enabled laptops that run on solar. Edge AI has the potential to improve the lives of billions by bridging the education gap and giving people access to affordable or no-cost tools to lift them up and out of poverty. This is why I believe so strongly that Edge AI is part of responsible, global AI. One company that is SO close to bringing this vision to life is Blaize, which raised an additional $106 million this week. CEO Dinakar Munagala and his co-founders Satyaki Koneru and Ke Yin are all experienced in the world of high-powered compute applications for the data center, which ultimately inspired them to form Blaize. They realized that building technology that affects people’s DAILY lives is where great value creation and impact will happen when compared to say, helping the enterprise create better chatbots. Munagala describes that Edge AI requires a radically new approach to compute, one that factors for low power envelopes, near-zero latency, and hyper-efficient compute. He also believes customers shouldn’t be encumbered by deployments that require expensive upgrades, so Blaize’s hardware is re-programmable, easy to deploy and easy to upgrade its software. They already have customer engagements in the automotive and machine vision markets, and if their team can nail the challenges in other markets through their solution stack - which is part of their roadmap - they’ll unlock unprecedented opportunities. The recent funding will help Blaize commercialize and scale, which will likely mean hiring. They’ve also made it clear they intend to enter the public market via SPAC but that could create headwinds for hiring simply because SPACs are lesser known than conventional exits like acquisition or an IPO. In my experience, employees who are looking to join want clarity, and while SPACs have many benefits to employees, they can also create uncertainty about the long-term ramifications to individuals. My advice to Blaize’s leaders, be ready to have clear conversations about not only your mission but your comp structure, etc., to win the best talent #semiconductorindustry #artificialintelligence #edgecompute