SiliconANGLE & theCUBE的动态

Transformation of the tech stack & the emergence of new brands ?? In this special episode of #theCUBEPod from #theCUBE + NYSE Wired’s #NRFMediaWeek, John Furrier and David Vellante discuss the impact of AI on the tech stack and how it’s enabling new brands to emerge in the market. “When you talk about the disruptions in the stack, every layer of the stack is going to be transformed. Compute will be moved into clustered systems, networking into ultra-low latency networking, and storage into distributed file systems. Even the software stack, operating systems have become AI optimized and AI aware. The data stack and all these agent frameworks injected into the application stack,” Vellante shares. “This points out why this super computing revolution is an AI infrastructure gain. If you look at the winners and losers, there will be many losers in this next wave… We're talking about Dell Technologies, Hewlett Packard Enterprise, HP - PCs and servers. If they're not on the right side of this data center shift, they could lose out. NVIDIA is enabling new architectures. That's why companies like VAST Data are emerging,” Furrier adds. ?? Get more insights! https://lnkd.in/ddteBarn

??DidYouKnow? #AI computing power is?doubling every 100 days! ? Synopsys Inc showcased the world's first multi-vendor CXL 3.1 IP interop demo and shared how real-time silicon-level data can improve digital twin simulations. ??Check out our blog to learn how we're advancing software-defined, silicon-optimized data centers. #SC24 #LifeatSynopsys

As an analyst, I've tracked the ongoing challenges in AI and data center networks, where link flap issues in large GPU clusters can lead to significant downtime and financial impact. Credo's new 800G HiWire ZeroFlap AECs are a game-changer, providing a reliable solution that eliminates soft link flaps entirely. This announcement represents a leap forward in AI infrastructure, offering the stable, lossless connectivity that’s essential for building the world’s largest supercomputers. With billions of operating hours proving their reliability, Credo is setting a new standard for the market. Ameet Suri We look forward to seeing this technology in person at the upcoming Open Compute Project Foundation 2024 Summit. Read the release here: https://lnkd.in/gtGVc3Be #AI #Networking #DataCenters #Supercomputing #MarketTrends #OCP2024 #Credo

We are extremely excited to be back in Taipei for Computex 2024 #computex2024! The tone of the show was set by Lisa Su in her keynote on Day 1. The trends she highlighted were predictably #AI-centric, and of particular interest was the capitulation away from hyper scaling CSPs in order to move computing power back towards Earth, emphasizing the trend of AI workload migration to #local/#edge systems. The largest barriers to adoption traditionally have been the complexities of implementation, administration, and scaling. But, as the complexities of both privacy concerns and compute efficiency compound, preference for local AI infrastructure has evolved from “nice to have” to a necessity. NetThunder’s product families are squarely placed as solutions to those barriers, enabling adoption with #turnkey, #scalable AI solutions. NetThunder’s automation makes it as easy to configure and deploy AI applications on bare metal #HPC as installing an app on a mobile phone (don’t worry, you can still hyper-optimize!). To learn more about our innovative approach to IT automation, from Secure Enclaves for #CMMC 2.0 to HPC cluster management, please visit our website, or reach out directly ([email protected]) to start a conversation and/or schedule a demo with our experts!

Bright Prospects for Ethernet in AI Infrastructure. Pete Del Vecchio Data Center Switch Product Line Manager at Broadcom, shares his vision for 2025, highlighting Ethernet's dominance in GPU clusters and scale-up networking. His analysis points to a future where AI deployment becomes more accessible through efficient processors and networking solutions, enabling organizations of all sizes to implement large language models. #llm #XPU #GPU #AIinfrastructure. Broadcom - Tim Lees, Charlie Kawwas and team. 2025 Infrastructure Technology Predictions Showcase https://dy.si/wEBgE

Experts predict that worldwide spending on edge computing will increase 15.4% in 2024 to $232 billion and reach nearly $350 billion by 2027. Why? The answer is large language models. [Analytics magazine] https://hubs.ly/Q0301Nq-0 #LLMs #largelanguagemodels #edgecomputing #cloudcomputing

The scale and complexity of data is overwhelming traditional infrastructures. Stop battling with storage that is hard to access, manage, and secure. And start using the simplest, most powerful, & affordable solutions in the market, from NetApp. We’re here to help you simplify the complex, because when you can easily deploy, manage and upgrade your storage solution at scale, you open the door to countless opportunities. It’s better ROI with fewer staff resources. It’s enabling new AI applications without disruption. It’s future-proofing your investment without risk. In other words, simplicity at scale is simply transformative. Embrace choice in the era of data and intelligence: https://ntap.com/4fCT8Do

Data center operators are prioritizing adaptable, energy-efficient, and reliable infrastructure to meet the demands of AI and high-performance computing. Discover how holistic design is key to navigating this transformation. Read the full story: https://ms.spr.ly/6047U3Z6x #HeatReuse #EnergyEfficiency #HolisticDesign

Getting started quickly and easily with an AI cluster is important to many enterprise businesses today. While GPUs get a lot of the attention, the right networking design is also a critical part of a performant and cost effective solution. Join the Presidio and Intel teams for a one hour webinar on July 18th at 1-2pm EST as we cover a cluster concept, including networking and communication software, that is needed for a modest scale AI system that is both easily obtainable, and a logical extension to typical enterprise data center deployments. Topics: ? Classes of AI systems and AI workloads ? Ingredients of Enterprise AI Installation ? Why a modest scale AI cluster is a great first step for most enterprises starting in AI? ? Example cluster configuration, network and communication software stack https://lnkd.in/eFMppgbs #iamintel #presidio #ai #networking

Struggling with Latency? Discover How to Reduce Costs & Gain Real-Time Insights with Edge Computing! Are latency issues slowing down your network performance? ?? Discover how to reduce latency and bandwidth costs while gaining real-time insights through Edge Computing. Our latest strategies can help you: - Optimize Data Processing: By moving data closer to the source, edge computing minimizes latency and reduces the load on your central data centers. - Enhance Real-Time Analytics: Leverage AI and ML at the edge to process data instantly, enabling quicker decision-making and improving operational efficiency. - Cut Bandwidth Costs: Reduce the volume of data that needs to be transmitted over long distances, decreasing your overall bandwidth expenses. ?? Learn how you can achieve substantial savings on bandwidth costs while enhancing network performance,https://lnkd.in/dJ8CQ_MU #EdgeEssentials #TelcoTips #LatencySolutions #BandwidthSavings #EdgeComputing #RealTimeInsights