Gary A.’s Post

The World Economic Forum's Global Risks Report 2024 features a compelling snapshot of the Generative AI technology value chain, demonstrating the intricate web of resources, talent, and innovation driving this sector. One key player, #ASML, stands out in the #lithography space. Being the most valuable company in Europe and holding 90% of the global market, ASML's cutting-edge technology enables the production of the most advanced chips, as small as 2-5nm, which are fundamental to the computing power behind #AI. This value chain maps out a journey from raw materials to game-changing AI applications, where each step is interconnected. It starts with material/resource extraction, moves through Taiwan's powerhouse in semiconductor fabrication at #TSMC, and then onto the design tables of companies like #Nvidia. ASML's lithographic innovations underscore Europe's strategic role in this global ecosystem, alongside Asia's dominance in assembly, testing, and packaging, and the U.S still in lead of AI research and computational power, although being closely challenged by China. This interconnectedness is a reminder of our global interdependence and the collaborative effort needed to navigate the generative AI landscape. The full 2024 report : https://lnkd.in/dmpWnSB7 #GenerativeAI #TechnologyInnovation #GlobalCollaboration #ASML #Semiconductor

As the global market increasingly shows interest in AI, tech companies have begun to turn to data center and chip advancements. Highlights from companies like NVIDIA, Intel, and AMD that are breaking into the chip market are below: • It’s estimated that NVIDIA has captured over 70% of the market share for AI chips • In comparing these companies’ various products, reports have found that AMD’s top chip still only operates at about 80% the speed as NVIDIA’s • Over any other types of processing units, Graphic Processing Units (GPU’s) are gaining popularity in AI as they are more efficient and can complete multiple tasks at once To learn more, check out the infographic below! Source: Visual Capitalist #KICWashingtonDC #KoreaInnovationCenter #AI #artificialintelligence

Chipmaker Nvidia unveiled its latest artificial intelligence (AI) chip, the B200 "Blackwell," at its annual developer conference. The B200 boasts a significant performance increase, being 30 times faster than its predecessor for specific tasks. This chip is designed to solidify Nvidia's dominance in the AI market, where it already holds an 80% share. While details on data processing speed, crucial for training AI models, were not revealed, the B200 promises advancements in areas like chatbot response time and efficiency. Read more 👉https://lnkd.in/dkfvrKr3 #AI #ArtificialIntelligence #Technology #MachineLearning #Nvidia #Blackwell #B200 #AIchip #Algorithm #Automation #DataScience #Innovation #SHAVIK #Australia Visit www.SHAVIK.ai

Chipmaker Nvidia unveiled its latest artificial intelligence (AI) chip, the B200 "Blackwell," at its annual developer conference. The B200 boasts a significant performance increase, being 30 times faster than its predecessor for specific tasks. This chip is designed to solidify Nvidia's dominance in the AI market, where it already holds an 80% share. While details on data processing speed, crucial for training AI models, were not revealed, the B200 promises advancements in areas like chatbot response time and efficiency. Read more 👉https://lnkd.in/gzKHwuv2 #AI #ArtificialIntelligence #Technology #MachineLearning #Nvidia #Blackwell #B200 #AIchip #Algorithm #Automation #DataScience #Innovation #SHAVIK #Australia Visit www.SHAVIK.ai

Transforming Tomorrow: AI Solutions for a Thriving Semiconductor Industry! Thanks to the historic CHIPS and Science Act, $52 billion is being funnelled into rejuvenating America's chip manufacturing capabilities and addressing critical supply chain vulnerabilities highlighted by the COVID-19 pandemic. But what about the workforce? AI and machine learning are part of the solution! These technologies are redefining roles within the semiconductor manufacturing sector. Discover how AI and ML are making long-term careers in the semiconductor industry more appealing and sustainable. Read the full blog post here: https://bit.ly/3UyjNIl Tignis sees a future where the combination of technology and human ingenuity will overcome today's skill shortage and usher in a new era of manufacturing excellence. Join the conversation and let us know how you think AI will shape the future of semiconductor manufacturing! #SemiconductorManufacturing #AI #MachineLearning #Tignis #Innovation #TechJobs #FutureOfWork #CHIPSAct #ProcessControl #SmartManufacturing

My Friend Recently Asked Me If AI Would Continue To Grow Rapidly? (Even After So Many People Fear Its Introduction And Try To Stop It?) My Honest Reply... NVidia an AI Chip Development Company recently crossed the $3 trillion market evaluation. Thus, making it the 2nd most valuable company in the world. Further technological advancements highlight the company's expected growth. Hence, showing interest and investment of many companies in AI technology. The company is well-positioned to benefit greatly from the growing demand for AI solutions because of its strategic orientation, strong financial performance, and unwavering innovation. This shows that AI is far from reaching its complete potential as well as demand. #NVidia #AI

Sam Altman, CEO of OpenAI, participated in a discussion with Pat Gelsinger, CEO of Intel, at Intel IFS Direct Connect 2024. Summary of Sam Altman's comments on #semiconductor and AI: Clarifies reports: Denies reports of needing $7 trillion for AI chips, but acknowledges the importance of significant investment in AI infrastructure. Global effort: Emphasizes the need for worldwide investment in a variety of AI-related areas, not just chips. Optimism about AI: Believes AI will be a powerful tool for human progress and collaboration. Caution and transparency: Acknowledges concerns about AI and advocates for iterative deployment to allow for adaptation and feedback. The discussion touched on Altman's vision for AI development and the need for investment in related infrastructure. Altman expressed optimism about the potential of AI while acknowledging the need for caution and transparency in its development. Semiconductor broker: YM Innovation Technology (Shenzhen) Co.,Ltd Email: BLESSU@foxmail.com chipspotbroker@gmail.com

🔌 Unveiling the AI Chip Crunch: Supply Shortages & Innovations 🔌 The AI revolution is soaring, but supply shortages are making waves throughout the industry. From major players to small businesses, we're all feeling the impact of the chip crunch. 💼⚙️ Nvidia and AMD are stepping up their game, but the road to recovery might be a bit longer. However, challenges are the birthplace of innovation. 💡🚀 Stay tuned as we navigate the AI chip crunch and forge ahead with groundbreaking solutions that will shape the future. 🌟🤖 #AIChipCrunch #InnovationDrive #BrainSTEMTechNews #AI

TSMC is responsible for 90% of the most advanced semiconductor production worldwide. Impressive but also concerning in terms of the centralized landscape of the chip fab industry. Sam Altman said on X, “building massive-scale ai infrastructure, and a resilient supply chain, is crucial to economic competitiveness.” Hardware for AI still remains expensive. The intelligent-like emergence currently can only be observed on larger models. For normal consumers, running even a 70B model locally is still unrealistic on account of RAM restriction and processing latency. Talking about global AI safety when the upper stream supply chain remains unstable and insecure, is quite moot. I am surprised that Sam Altman is the first to openly advocate for this massive enterprise instead of major techs. But I think it’s a start. AI products can not be massively accessible, readily available, and safe, unless we find a way to break the bottleneck on the compute constraint.