Generative ai reviews’ Post

As we push the boundaries of semiconductor technology, many voices in the industry have weighed in on the future of Moore's Law. Here’s a snapshot of what leading experts and industry pioneers have had to say over the years: 1. "The transition from single transistors to integrated circuits required new design and fabrication approaches. While we may reach physical limits, innovation will always find a way to push technology forward." - Carver Mead, Caltech Professor, 1979 2. "There are real physical limits to transistor miniaturization, but innovative solutions will continue to emerge. Economic factors might ultimately constrain progress more than physics." - Gordon Moore, Intel Co-founder, 1989 3. "We might hit a wall within a decade. The physics and economics of smaller transistors could make further scaling difficult." - Bob Colwell, Intel, 1995 4. "We’re approaching fundamental limits in physics and cost. However, innovations in materials and processes may allow us to keep Moore’s Law alive a bit longer."  - Craig Barrett, Intel CEO, 2000 5. "While size scaling may not be indefinitely sustainable, cost-per-function improvements could continue even as physical scaling reaches its limits."  - Gordon Moore, 2005 6. "Classical scaling is ending, but technologies like high-k dielectrics and 3D transistors could extend Moore’s Law." - Paul Otellini, Intel CEO, 2007 7. "Maintaining Moore’s Law is increasingly challenging due to leakage current and quantum effects, but solutions like FinFET technology are in the works."  - Mark Bohr, Intel Senior Fellow, 2010 8. "Moore’s Law is dead. The future of computing will be shaped by innovations in parallel computing and GPUs, not just transistor scaling."  - Jen-Hsun Huang, NVIDIA CEO, 2016 9. "With Moore’s Law approaching its end, the focus should shift to developing more efficient algorithms and specialized hardware."  - John Hennessy, Google, 2018 10. "Moore’s Law is not dead but evolving. Continued innovation in materials, processes, and architectures will sustain its momentum." - Pat Gelsinger, Intel CEO, 2021 11. "Moore’s Law alone is not enough. Future advancements will be driven by accelerated computing and AI technologies."  - Jensen Huang, 2022 12. "Moore’s Law extends beyond transistor count. We're focusing on heterogeneous computing and chiplet architectures to enhance system efficiency." - Lisa Su, AMD CEO, 2023 13. "Moore’s Law is evolving. Investments in neuromorphic and quantum computing are key to unlocking future capabilities."  - Raja Koduri, Former Intel Chief Architect, 2024 14. "The shift is from increasing transistor density to enhancing overall system efficiency, especially for cloud and AI applications."  - Peter Lee, Microsoft Research, 2024 What are your thoughts on the future of Moore’s Law and its impact on technology? How do you see innovation driving the next era of computing? #MooresLaw #Technology #Innovation #Semiconductors #AI

How long will Moore’s Law last? Moore’s Law states that the number of transistors on a microchip doubles approximately every year, but how long will Moore’s Law last? Moore's Law is a prediction made by Gordon Moore, Co-Founder of Intel Corporation, in 1965. He observed that the number of transistors on a microchip doubled approximately every year, leading to a corresponding increase in computing power and a decrease in cost per transistor. This trend has driven the exponential growth in the performance and capabilities of electronic devices, particularly computers, over several decades. In 1975, Moore revised his observation to predict that the number of transistors would double approximately every two years. Read more 👉 https://bit.ly/3SIz5Ks #ElectronicSpecifier #Engineering #Technology #Microchip

🌐 Embracing the Era of Hyper Moore’s Law with NVIDIA’s Vision! In a recent insight-packed discussion, NVIDIA's Jensen Huang unveiled the concept of “Hyper Moore’s Law,” signaling a paradigm shift in computing. As traditional scaling methods reach their limits, the focus turns to “codesign”—where hardware and software are co-developed to maximize performance. 🚀 Key Highlights: Beyond Dennard Scaling: Traditional chip enhancements are slowing, making codesign essential to balance hardware and software capabilities. Precision Innovations: NVIDIA’s approach, moving from FP64 to FP32, and now FP4, is driving advances that push the boundaries of what’s possible. Data Center Transformation: Full-stack design and innovative scaling will be at the core of data center evolution. Over the past 8 years, NVIDIA has boosted computational power by 1,000x, but Huang emphasizes that it’s just the beginning. This relentless pace is critical as industries demand ever-greater performance. NVIDIA is paving the way for an exciting future where hardware-software codesign unlocks new capabilities and fuels the next generation of AI-driven innovation. #HyperMooresLaw #NVIDIA #AI #DataCenter

What is your driving force? Gordon Moore the co-founder of intel observed and later predicted that the number of transistors on a microchip will double approximately every two years, leading to a corresponding increase in computing power and performance. This observation has held true for several decades and has become a guiding principle in the semiconductor industry. This empirical observation has driven a relentless pace for innovation, which has fuelled intense competition among semiconductor companies to continually improve chip performance and miniaturisation. This motivating factor has lead to exponential growth in computing power and technological advancements, and has enabled the continuous development of faster, smaller, and more energy-efficient electronic devices. While Moore's Law has been remarkably accurate for many decades, sustaining its pace of progress has become increasingly challenging as transistor sizes approach physical limits and manufacturing cost rises. However, the spirit of Moore's Law continues to inspire researchers and engineers to explore new technologies and paradigms, such as quantum computing, neuromorphic computing, and advanced packaging techniques, to overcome these challenges and continue the trajectory of technological progress. With the evolution of AI, the introduction of the metaverses and other technological advancements, Moore's Law has gained heightened importance, necessitating greater computational power to cope with the escalating demands of data processing and scalability. In recent news, the Biden administration announced plans to invest $285 million dollars into digital twins in order to facilitate US production of microchips in an attempt to increase US production in the market. Signalling that Moore's Law remains the driving force for innovation and production in the semiconductor and its associated industries. https://lnkd.in/dvtxcqSe

📈 📊 Moore’s Law is the fundamental principle that puts the “Silicon” in Silicon Valley AND... Has powered the worldwide ascent of the technology industry! Moore’s Law is named after its codified, Intel Corporation cofounder Gordon Moore, who coined the term in a paper he wrote in 1965, observing that the number of transistors that could be crammed onto the surface of a silicon chip appeared to be 2X each year. While Moore revised his eponymous law in 1975 to a doubling of transistors every 24 months... The industry has since settled on a broad consensus of 18 months. Today, Moore’s Law no longer refers specifically to transistor density... Rather, It predicts that computing power tends to 2X every 18 months. In recent years, This growth in computing power has been driven by the transition to multicore, multithreaded computing. Perhaps in the future... Moore’s Law will be met by quantum computing, optical chips, the use of DNA, or something even more impossible to foresee. The point is... It appears that the true limit to Moore’s Law is human engineering ingenuity, not solid-state physics... Moore’s Law matters because the relentless increase in computing power that it predicts acts as a constant source of technological innovation, which, as we have seen... can help enable business model innovation. For many years, the power of Intel’s central processing units (CPUs) was measured by their “clock rate”—the number of times per second that the CPU could operate. While clock rate is no longer a good measure of computing power... It is still a good metaphor for how Moore’s Law drives the world of computer technology: Each tick of the clock enables new technologies... Driving faster and faster innovations. Increasing computing power allowed the shift from gigantic mainframes to smaller minicomputers to personal computers, all the way to today’s smartphones and wearables. We’ve seen similar increases in things like network bandwidth... Allowing the Web to shift from text to images to audio to video, and in the future, 3-D and virtual reality (VR). Yet today’s smartphones aren’t simply smaller versions of IBM mainframes remember, technology innovation enables business model innovation. The best entrepreneurs don’t just follow Moore’s Law; they anticipate it. #siliconvalley #startups #funding #fintech #ai #chatgpt #openai

2024 Marks the #End of #Moore’s #Law #Hyper #Moore’s Law #begins. https://lnkd.in/g5XsXMDi 🔹️Moore’s Law, the guiding concept in computing, is an observation made by Intel co-founder Gordon Moore. According to this law, the number of #transistors on a #device #doubles roughly every two years, hence #increasing #performance. For years, this idea has driven the #semiconductor sector. 🔹️In the fast-paced world of technology, not many ideas have been as impactful as Moore’s Law. The principle, first highlighted in 1965, predicted that the number of transistors on a #microchip would double about every two years, #resulting in rapid #advancements in #computing #power. Yet, it has been observed that the transistor count does not merely follow Moore’s Law but surpasses it in significant ways. 🔹️With that thought, #AIM has put together this article highlighting the number of times Moore’s Law was #challenged. ▶️ NVIDIA’s Blackwell GPU Launch ▶️ The Shift to ‘More than Moore’ Strategy ▶️ SambaNova Transforming the Hardware & Software Landscape ▶️ AMD’s Claim About Moore’s Law ▶️ Intel’s Acknowledgment of Moore’s Law Limitations ▶️ Lightmatter’s Shift to Photonic Computing ▶️ Emergence of Alternative Computing Models ▶️ Cerebras Challenging Moore’s Law (https://lnkd.in/gk-3FQbg) [NVIDIA’s #JensenHuang Says That We are in the #Era of “#Hyper #Moore’s Law” (https://lnkd.in/gyUp22dR)] Thanks to #TarunyaS for nice stuff | NOVEMBER 18, 2024 | #MooreLaw | #HyperMooreLaw | #HyperMoore | #wafer-#scale #engine (#WSE) | #waferscaleengine | #International #Technology #Roadmap #Semiconductors (#ITRS) | #GPU | #atomicscales | #10nm | #7nm | #chips | #TSMC | #technology | #NVIDIA’s #Blackwell #GPU #Launch | #SambaNova #Transforming #Hardware & #Software | #AMD | #Intel | #Lightmatter #Photonic #Computing | #Cerebras #Challenging | analyticsindiamag.com #Details— https://lnkd.in/g5XsXMDi

Hi everyone. As someone who is curious about technology and how the world works, I’ve been fascinated in computer devices and development. Today I delved into Moore’s Law, and I’d like to share this information. “Picture a world where computer chips are like tiny cities, bustling with microscopic workers called transistors. These little marvels follow a magical trend known as Moore’s Law, doubling their numbers every two years. Let’s unravel this enchanting journey into the heart of technology!” 🧐 Let’s dive into Moore’s Law with a bit more depth for our seasoned readers. 🔍 Understanding Moore’s Law: The Magic of Shrinking Chips What Is Moore’s Law? Moore’s Law is a fascinating trend that has shaped the tech world for decades. Named after Gordon Moore, one of the co-founders of Intel, it predicts that the number of tiny components (transistors) on a computer chip will double approximately every two years. These transistors are like the brain cells of our devices—they help them think, remember, and perform tasks. The Tiny Transistor Cities: Imagine a bustling city where each resident is a transistor. These transistors are incredibly small—like ants in an anthill. Back in the day, a chip might have had just a few thousand transistors. But thanks to Moore’s Law, that number has skyrocketed. Today’s chips can house billions of these little workers! Why Does It Matter? More transistors mean more power. Think of it as having more hands to juggle tasks. When you open an app, play a game, or edit a photo, these tiny workers collaborate to make it happen. They switch on and off, creating the magic of computing. The Technical Bit: Moore’s Law relies on our ability to shrink transistors. We’ve gone from big, clunky chips to sleek, efficient ones. Engineers use advanced techniques to etch these transistors onto silicon wafers. It’s like creating intricate patterns on a microscopic canvas. Limits and Challenges: While Moore’s Law has held true for decades, we’re approaching limits. Transistors can’t keep shrinking forever. Heat becomes an issue, and quantum effects kick in. But fear not! Innovators are exploring new materials, 3D designs, and quantum computing to keep the magic alive. The Never-Ending Race: Moore’s Law isn’t a law of physics—it’s a promise we’ve kept through ingenuity. So next time you marvel at your lightning-fast smartphone or powerful laptop, tip your hat to those tiny transistors working tirelessly inside. They’re the unsung heroes of our digital age! 🌟🧐 For my audience that would like to explore this further, the following You Tube channel I follow has some interesting future information that expands on this concept. https://lnkd.in/g2MaBFZF

NVIDIA’s chief Jensen Huang in a recent interview said that the era of traditional scaling might be coming to an end. He sees the emergence of what he calls “Hyper Moore’s Law” as the future. “We’re going to be on some kind of a hyper Moore’s law curve, and I fully hope that we continue to do that,” Huang said, indicating a shift towards new paradigms in computing that extend beyond the conventional model of chip performance improvement. Historically, Moore’s Law relied on Dennard scaling and Carver Mead’s VLSI (Very Large-Scale Integration) techniques to boost chip performance. However, Huang acknowledges that these methods have reached their limits. “The two fundamental technical pillars were Dennard scaling and Carver Mead’s VLSI scaling. Both of these techniques were rigorous. However, these techniques have really run out of steam,” he explained. The future, according to Huang, lies in “codesign,” a method where both hardware and software are developed together to ensure optimal performance. “Unless you can modify or change the algorithm to reflect the architecture of the system or change and then change the system to reflect the architecture of the new software and go back and forth—unless you can control both sides of it, you have no hope,” he said. According to Huang, this codesign approach, which integrates hardware and software, allows for innovations in precision, such as moving from floating point operations like FP64 to FP32 and even as low as FP4. 

Seems like the pace at which computing power grows is accelerating. Intel Corporation and Moore's Law is starting to look slow when you compare it to the pace at which NVIDIA is rolling out new chip generations with increased capacity. Adding in the advances that Microsoft, Cisco, and Red Hat are making in the areas of #AI, #edgecloud, and distributed #networking, it's going to be really interesting to see where we'll be by 2029. If you are looking for IP Addressing, DNS, Network Source of Truth, or infra onboarding solutions for these new architectures, FusionLayer Inc. can help!

Digging into how data centers are getting smarter and we're seeing Moore's Law playing out in a cool new way. It's all about packing more power into smaller spaces and using liquid cooling to crank up the energy efficiency. Guess what? NVIDIA is already on top of this game. So, Moore's Law is no longer just about shrinking chips to save on costs and speed things up. Now, we're also talking about making everything more compact and closer together in data centers, making the whole setup act like one giant, super-efficient chip. Looks like we're onto something big in how data centers could work in the future. Pretty exciting stuff!