Karen Butts’ Post

So excited to see how Intel® Xeon® 6 processors are revolutionizing AI computing! It's been amazing to chat with the tech specialists on-site. Key takeaways that interest me the most about the impact of the Xeon® 6 Processor on the AI world: - AI Everywhere  Intel® Xeon® 6 processors bring AI acceleration to every core, enabling high-performance computing for a wide range of workloads. Now, you can build and deploy AI solutions seamlessly on your existing architecture. - Flexible Performance With Intel AI Engines, including Intel AMX and AVX, these processors offer the flexibility of Xeon® processors and the performance of an AI accelerator. This means improved inference and the ability to run any AI code or workload. - Secure and Scalable It offers a large ecosystem, a familiar toolset, and the ability to scale across cloud, data center, and edge. Plus, with hardware-backed confidential computing, you can ensure the security of your AI workloads and protect sensitive data. - Scale to higher AI performance with a reliable foundation Thank you for the support from Intel Business Intel AI Learn more https://intel.ly/452PDBM #IntelAmbassador #IntelXeon #artificialintelligence #technology #innovation

The "long wire" problem in semiconductor System-on-Chip (SoC) design refers to the challenge of managing delays and signal integrity issues caused by lengthy interconnects between various components on the chip. As SoCs become increasingly complex with more functionality integrated onto a single chip, the distances signals need to travel can become significant, leading to increased propagation delays, power consumption, and potential signal degradation. Traditionally designers had employed techniques such as buffering, pipelining, and routing optimization to mitigate these issues and ensure reliable operation of the SoC at the expense of latency performance. The introduction of generative AI has pushed this issue even further, forcing strict latency requirements into systems. Traditional pipelining solutions are becoming prohibitive (even in source- synchronous applications) limiting performance and scalability of modern SoCs. See how Chronos is able to solve this issue... chronostech.com

Arista Networks revealed in February that it has design wins for fairly large AI clusters. Jayshree Ullal, co-founder and chief executive officer at the company, provided some insight into how these wins are progressing towards money and how it sets Arista Networks up to reach its stated goal of $750 million in AI networking revenue by 2025. “This cluster,” Ullal said on the call referring to the Meta Platforms cluster, “tackles complex AI training tasks that involve a mix of model and data parallelization across thousands of processors, and Ethernet is proving to offer at least 10 percent improvement of job completion performance across all packet sizes versus InfiniBand. We are witnessing an inflection of AI networking and expect this to continue throughout the year and decade. Ethernet is emerging as a critical infrastructure across both front-end and back-end AI data centers. AI applications simply cannot work in isolation and demand seamless communication among the compute nodes consisting of back-end GPUs and AI accelerators, as well as the front-end nodes like the CPUs alongside storage.” Outstanding work Arista Networks! Mukesh Sharma, Shane Marsh, Helena Singer, Matthew Thurbon Geoffrey Wall , Paul Druce Richard Bayliss ,Kate Basten TOM SHAW

Powered by dual #IntelXeon 6 processors, QCT QuantaGrid D55Q supports accelerators, CXL 2.0, and 400Gb networking for memory-bound and #AI inference tasks in a flexible robust 2U form factor. Learn more: https://bit.ly/4b2sAIo

🚀 Exciting News! 🚀   Check out the latest blog post written by Łukasz Łukowski introducing the Edgecore Networks Corporation AGS8200 - a game-changing GPU-based server designed to elevate AI/ML capabilities in tandem with advanced networking solutions like our 800G Tomahawk 5 switches.   This seamless integration delivers the lightning-fast data movement that is critical for AI success.   The #AGS8200, powered by Intel® Habana® Gaudi® 2 processors, marks a pivotal moment in GPU-based computing, offering unmatched performance and scalability.   It's a quantum leap forward in AI/ML evolution, driven by #opennetworking principles.   #Edgecore #Intel #AI #ML #AIserver Accton Habana Labs🌐🔥   https://lnkd.in/dEivpkdu

Yotta Data Services Private Limited's investment in NVIDIA's AI chips represents India's most significant bet to date. Yotta has received India's inaugural consignment of Nvidia's H100 chips, with an additional 16,000 slated to arrive in June. These H100 chips stand as the fastest GPUs globally. This achievement brings Yotta one step closer to the launch of ShaktiCloud, India's pioneering AI-HPC supercomputer, poised to transform industries with its unparalleled speed and capability. Yotta Data Services Private Limited, a Hiranandani Group company, comprehends that data lies at the heart of modern existence. While they operate India's largest data center parks, they transcend mere infrastructure. They secure, manage, analyze, and grant access to memories, decisions, ideas, entertainment, finances, communication, and more. With their comprehensive suite of data center colocation and tech services, including cloud services, network and connectivity, IT security, and IT management services, Yotta stands as a beacon in the digital landscape. For further information, visit: www.yotta.com.

The rise of AI products has spurred the need for robust infrastructure, resulting in a transformative era where demand outstrips supply. AI networking is at the heart of this convergence, playing a pivotal role in modern clusters. Did you know that AI networking accounts for a significant portion of power consumption within AI factories, ranging from 9% to 16%? This underscores its importance and sets the stage for exponential growth in the AI Networking semiconductor market. According to IDC, this market is projected to reach a staggering $72 billion by 2028, encompassing crucial components such as Infiniband, Ethernet Switching, Ethernet AI Routing, NICs, DPUs, and HCAs. The optics and connectivity segment is also poised for substantial expansion, expected to reach $14 billion by 2028. This domain includes critical elements such as CPO, LPO, Network Photonics, AECs, DACs, and standard copper infrastructure, all integral to fostering efficient communication within AI ecosystems. This forecast presents a dynamic landscape populated by industry frontrunners like Nvidia, Broadcom, Marvell, Cisco, Juniper, among others. As AI continues to permeate diverse sectors, the race to fortify AI infrastructure will intensify, presenting lucrative opportunities for innovators to capitalize on this burgeoning market. Stay ahead of the curve and learn more about IDC's findings here: https://lnkd.in/gAs85DcM

Are you prepared to future-proof your data centers? Intel’s freshly unveiled Xeon 6 processor is a game-changer in the realm of enterprise AI workloads, featuring innovative dual microarchitectures to cater to diverse computing needs. The new Xeon 6 series is not just about raw power; with its E-core and P-core designs, it promises to revolutionize how businesses achieve cost efficiency, sustainability, and space optimization. Launching on June 4, the 6700 Series with E-cores focuses on efficiency, while the 6900 Series, debuting in the third quarter of 2024, packs a punch with its performance-driven P-cores. This strategic approach allows organizations to tailor their infrastructure specifically to the nature of their workloads, optimizing resources and enhancing digital capabilities in the process. Additionally, Intel is stepping up the competition in hardware acceleration with its Gaudi 2 and Gaudi 3 accelerator chips. Priced at $65,000 and $125,000 respectively, these units are poised to take on industry giants like Nvidia’s H100, offering a more budget-friendly option without compromising on performance. The Gaudi 3, in particular, stands out by providing superior efficiency at a significantly lower total operation cost, making it an attractive option for enterprises looking to scale their AI operations efficiently. This blend of performance, efficiency, and strategic pricing points to a significant shift in how companies could manage data center operations and AI applications. As businesses continue to integrate AI into their core processes, having the right infrastructure could be the difference between staying ahead or falling behind in the rapidly evolving tech landscape. Is your enterprise ready to embrace these innovations? Visit us at https://workflo.agency for a free consultation to explore how the latest in AI and automation can propel your business into the future. Explore opportunities you can't afford to miss! #Intel #Xeon6 #DataCenterInnovation #EnterpriseAI #TechnologyTrends #BusinessAutomation

As #AI workloads evolve, the demand for memory bandwidth has skyrocketed. Micron is leading the charge with our HBM3E 12-high memory, now sampling to key industry partners. With a 36GB capacity, 50% increase over current offerings, and pin speeds exceeding 9.2 Gb/s, our 12-high solution ensures lightning-fast data access and efficiency. Plus, it consumes significantly less power than competitors' 8-high 24GB solutions. Discover how we're transforming AI with our innovative memory solutions from a blog by Rajendra Narasimhan SVP & GM of Micron's Compute & Networking Business Unit! https://bit.ly/3ASXjLS #MicronInnovation

AI's needs mean more processing power is needed closer to facilities that produce tons of data. It's driving massive demand for edge computing infrastructure. • The global market for edge computing is already worth over $200 billion a year.