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Gain an edge with TipRanks. Intel (NASDAQ:INTC) Slips as New Focus on Edge Computing Emerges TipRanks provides you with the market intelligence you need to gain a competitive edge. Our sophisticated AI engine analyzes millions of data points to uncover emerging trends in the stock market before anyone else. Keep up with the latest innovations, track key technologies, and discover undervalued stocks poised for growth. Whether you're an investor looking for the next big thing or an analyst trying to spot disruptive companies, TipRanks gives you insights into the future today. Act now to get ahead of the curve with TipRanks. How to make Money from Instagram with ONE simple template https://lnkd.in/grCFTigD

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Therese Poletti's Tech Tales article on MarketWatch explores the rising importance of liquid cooling technology in data centers, driven by the increasing power consumption and heat generation of semiconductors, especially in AI applications. Nvidia's latest Blackwell system, for example, consumes up to 1,500 watts per GPU, necessitating advanced cooling solutions to maintain performance and prevent overheating. Data centers are turning to liquid cooling, where coolants like water are circulated directly over heat-generating components to dissipate heat more efficiently than traditional air cooling. This approach not only enhances energy efficiency but also mitigates performance issues and potential outages due to overheating. Companies like Super Micro Computer Inc. and Hewlett Packard Enterprise (HPE) are at the forefront, offering direct liquid cooling (DLC) solutions that can significantly reduce operating expenses and CO2 emissions. The industry expects liquid-cooled data centers to grow from less than 1% historically to 15%-30% of installations in the next few years. Startups such as LiquidStack and Ferveret are also innovating in this space, with technologies ranging from direct-to-chip liquid cooling to immersion cooling, which involves submerging entire servers in coolants. Despite the complexity, the adoption of liquid cooling is seen as essential for supporting the ever-increasing demands of AI and other compute-intensive applications. Overall, while liquid cooling adds complexity and costs to data center construction and operation, it promises substantial benefits in efficiency and performance, making it a crucial component in the infrastructure supporting modern AI-driven technologies. For further details, you can read the full article on MarketWatch.

What could revolutionize AI and high-performance computing by 2027? NVIDIA's upcoming 'Rubin' chips, based on the innovative Hopper architecture, are poised to dramatically enhance AI capabilities and computing power. Set to debut in 2026, with the even more advanced 'Rubin Ultra' following in 2027, these chips are built using state-of-the-art 5nm process technology and promise significant strides in performance and power efficiency. Imagine a future where AI can operate more efficiently and on a larger scale, powered by NVIDIA’s latest technology facilitating unprecedented computational speeds and reduced power consumption. This progression could redefine industries like healthcare, automotive, and financial services, where advanced AI applications are critical. By staying informed about and preparing for these advances, businesses and developers can align their strategies to leverage these powerful technologies as soon as they hit the market. This foresight will be key in maintaining competitive advantage in a rapidly evolving tech landscape.

Imagine a world where data moves at unprecedented speeds, connecting dots faster than ever. That's the reality NVIDIA has ushered in after acquiring Mellanox Technologies. With the Spectrum family of switches, they're not just playing in the high-speed Ethernet networking arena; they're redefining it. Supporting 800Gbps Ethernet, these switches are a game-changer for high-performance computing and data center environments. But here's the twist: the real magic happens with AI workloads. In the era of AI, where data is king, speed is the queen. The integration of Mellanox's technology means NVIDIA is now at the forefront of facilitating faster, more efficient AI computations. This isn't just about quicker data transfer; it's about making real-time AI insights a reality, transforming industries from healthcare to automotive. For businesses, this means the ability to process vast amounts of data in the blink of an eye, leading to smarter decision-making and innovation at speeds previously thought impossible. So, what's your move? In a world accelerating towards AI dominance, ensuring your infrastructure can keep up is not just an option; it's a necessity. Let's discuss how NVIDIA's advancements can revolutionize your operations. Share your thoughts below.

Startup accelerates progress toward light-speed computing Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate. Now Lightmatter, a company founded by three MIT alumni, is continuing the remarkable progress of computing by rethinking the lifeblood of the chip. Instead of relying solely on electricity, the company also uses light for data processing and transport. The company’s first two products, a chip specializing in artificial intelligence operations and an interconnect that facilitates data transfer between chips, use both photons and electrons to drive more efficient operations. https://lnkd.in/dTWk3NA5

Hear about the NVIDIA® AI Computing by HPE solution straight from Neri! In this important 7-minute video clip for anyone in IT, he explains how this Hewlett Packard Enterprise solution is a game-changer and will accelerate AI initiatives. The key point is that AI workloads will be the same as any other with HPE compute systems. Watch it and then contact Trustco, your local HPE authorized partner for these AI-powered systems.

#AI Powered Storage Market was valued at USD 3.9 Billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 6.80% through 2029. One of the key drivers of Al-powered storage market is the growth in adoption of cloud-based applications & services. #Cloud based applications have carried a massive revolution in the business industry, particularly during COVID-19 pandemic. Many companies are adopting cloud-based platforms as it bids limitless flexibility & reliability. Moreover, it proposals great adaptability & is eco-friendly which further pushes the AI powered storage market growth. Explore Global Market and Key Players Insights: https://lnkd.in/griF8ceQ 🔑 Key Market Players are Intel Corporation NVIDIA Corporation IBM Samsung Electronics Pure Storage NetApp Micron Technology CISCO Toshiba Hitachi

Open chiplet platform enables scaling of next generation LLMs/AI DreamBig Semiconductor has unveiled “MARS”, a world leading chiplet platform to enable a new generation of semiconductor products using open standard chiplets for the mass market. This disruptive chiplet platform will democratize silicon by enabling startups or any size company to scale-up and scale-out LLM, Generative AI, automotive, datacenter, and Edge solutions with optimized performance and energy efficiency. The DreamBig “MARS” Chiplet Platform allows customers to focus investment on the areas of silicon where they can differentiate to have competitive advantage and bring a product to market faster at lower cost by leveraging the rest of the open standard chiplets available in the platform. This is particularly critical for the fast moving AI training and inference market where the best performance and energy efficiency can be achieved when the product is application specific. “DreamBig is disrupting the industry by providing the most advanced open chiplet platform for customers to innovate never before possible solutions combining their specialized hardware chiplets with infrastructure that scales up and out maintaining affordable and efficient modular product development,” said Sohail Syed CEO of DreamBig Semiconductor.