DDN’s Post

June 26th please join ClearObject's own Derek Bleyle on MxD's webinar, "Delivering Modern Manufacturing Outcomes with AI at the Edge". MxD, Google Cloud, and ClearObject are at the bleeding edge of AI at the Edge (pun intended), so learn about the benefits of edge computing from some of the best in the business.

this is a rack of processors for a data center that is liquid cooled. historically , telcos have operated data centers, although not at the scale of the big cloud hyperscale players. the revolution in generative AI, especially the need for generative AI processors, means that telcos need to think about liquid cooling inside their data centers. liquid cooling is much more complex and can be difficult to retrofit. generative AI processors use roughly 10 times as much power as traditional data center chips, so liquid cooling is sometimes the only option. this happens to be a super micro solution, but there are others of course

🌟 Insightful Reads!🌟 WEKA and NexGen Cloud are teaming up to revolutionize AI in the cloud, making it greener and more accessible than ever before! 💻 Our collaboration aims to optimize GPU power, minimize energy consumption, and democratize AI access. Hear from our very own Jonathan Martin, President – WEKA - “The AI Supercloud provides a straightforward way to democratize access to AI for smaller organizations," Martin says. "By doing so helps them fuel the next wave of AI innovation, putting the most powerful GPUs in the world in the hands of the masses." Chris Starkey, Co-founder and CEO of NexGen Cloud, says - “What the Supercloud represents is high quantities, shorter runs, and trying to streamline across the entire process,” Starkey says. “With WEKA, we're able to do that quite significantly.” Dive into the article for more insights - https://hubs.la/Q02mL-yB0 #WEKA #WinwithWEKA #AI #Cloud #SustainableAI #DataStorage #GenAI #AIML #GPU #AIInfrastructure #CloudComputing

this is a rack of processors for a data center that is liquid cooled. historically , telcos have operated data centers, although not at the scale of the big cloud hyperscale players. the revolution in generative AI, especially the need for generative AI processors, means that telcos need to think about liquid cooling inside their data centers. liquid cooling is much more complex and can be difficult to retrofit. generative AI processors use roughly 10 times as much power as traditional data center chips, so liquid cooling is sometimes the only option. this happens to be a super micro solution, but there are others of course

AI, ML and GenAI are taking us from automation to autonomous networks, and from closed to open networks. And yet the transformation goes well beyond tools like AI, ML and GenAI, and encompasses culture, skills and overall approach to operating our increasingly complex networks. I had the pleasure of going through all these topics (and a few more) with Brandon Larson, who is working on the transition to autonomous and open networks at Mavenir, working on new products and listening to operators and partners. If you did not join the live #SparringPartners, you can listen to it now: https://lnkd.in/e2pgNU55 #automation #5G #openRAN #ORAN #cloud #virtualization #disaggregation #Ai #GenAI #ML #RAN #openran #autonomousnetworks #autonomous

🚀 Real-Time Edge Computing: The Future of Industry 🌐 In the fast-paced world of industry, real-time edge computing is changing the game. Instead of sending data to the cloud, this technology processes it right at the source, enabling quicker decision-making and enhanced operational efficiency. This means less downtime and better performance across various applications. Edge computing works in tough environments, integrates smoothly with existing systems, and uses AI to predict maintenance needs effectively. Plus, it keeps your data secure and local, reducing risks associated with data transmission. Check out the blog to explore how edge computing is reshaping the future of industrial operations! 👉 Read my full blog here: https://lnkd.in/gGksmhAb #IIoT #EdgeComputing #IndustrialAutomation #AI #Manufacturing

AI Agents Need Supercharged Speed! ⚡ AI assistants are cool, but slow networks hold them back. That's where 5G and edge computing come in! 5G = Superfast data transfer for real-time smarts. Edge computing = Decisions made on the spot, not in the cloud. Together, they power up AI for: - Fixing machines before they break! ⚙️ - Self-driving cars with lightning reflexes! ️ - Chatbots that answer faster than ever! #AI #5G #EdgeComputing #FutureofTech

The AI revolution is rapidly accelerating, and networking infrastructure lies at its core. As Ram V.elga of Broadcom highlighted, up to 70% of GPU consumption today is by the major cloud providers building massive AI clusters with hundreds of thousands of accelerators. This requires a transformational shift in networking capabilities to enable the immense bandwidth and ultra-low latency required for distributed AI training and inference. The demands of AI will continue to drive both network performance in the data center and for AI in networking in the years ahead. Juniper Networks is committed to relentless innovation to drive this AI/ML renaissance, positioning our customers to unleash the full potential of artificial intelligence. For more info, check out the full episode here: https://juni.pr/3YH8BMy

When it comes to #GenAI, it’s safe to say, “Surf’s up.” 🌊 This market insight report by industry analyst Henry Baltazar of S&P Global Market Intelligence provides a thorough view into how WEKA is riding the wave of opportunity at the intersection of cloud and AI – and helping its customers to ride it too. WEKA does this by providing the modern AI infrastructure needed to support AI workloads and GPUs efficiently and sustainably. Have a read (no registration required) to see how WEKA can help you hang 10 in the GenAI era. https://hubs.la/Q02mkNqh0 #trendsinai #aitrends #generativeai #artificialintelligence #machinelearning #gpucomputing #sustanableai #sustainability #cloudcomputing #hybridcloud #data #dataplatform

🚀 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗙𝗮𝗰𝘁𝗼𝗿𝘆 𝘄𝗶𝘁𝗵 𝗗𝗗𝗡 Ready to maximize the potential of your NVIDIA cloud infrastructure? DDN’s AI Data Intelligence Platform is purpose-built to help NVIDIA Cloud Providers: ✅ Fully harness GPU power. ✅ Accelerate AI model training and tokenization. ✅ Scale seamlessly for greater efficiency and profitability. With 80% of the world’s NVIDIA AI system deployments powered by DDN, we’re setting the standard for speed, scalability, and AI success. 💡 From secure multi-tenancy to 400% faster GPU performance, our turnkey solutions are designed to future-proof your AI Factory and accelerate your path to profitability. 👉 Visit our website to learn how DDN can power your AI Factory with unmatched efficiency and expertise: https://bit.ly/3ZIXfby #AI #ArtificialIntelligence #ML #MachineLearning #LLMs #tech #data #DataStorage #DataCenters #DataAnalytics #innovation