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Looking at AI Private Clouds Are you in the market for an AI private cloud? This is the one place to go. Let me know what you guys think, and share your opinions on this stuff. https://lnkd.in/eZAkcny7

🚨 I Was Wrong! 🚨 One year ago, I stood on the OCP Global Summit Keynote stage and presented my forecast for liquid cooling. Like many others, I projected steady, gradual growth based on adoption trends and market cycles. But I was wrong. 🤔 The market didn’t follow the gradual trajectory I projected. Cold plate cooling, long predicted to rise, didn’t just grow—it exploded. The market quadrupled in size, catching even the most informed forecasts off guard. Necessity rewrote the rules, driven by the relentless thermal demands of cutting-edge IT equipment. 📈 Despite many people knowing, why didn’t any forecasts project this? 🌐 What does this mean for immersion cooling and the future of data center technologies? In my latest article, “The Rise of Necessity-Driven Cooling: What Cold Plate Adoption Means for Immersion,” I explore: ✅ The drivers behind cold plate’s sudden surge ✅ Why traditional forecasting models failed to capture the shift ✅ What this means for the future of immersion cooling This is the first in a four-part series, where I’ll explore: 1️⃣ Forecasting and the trends shaping liquid cooling’s rapid evolution 2️⃣ The diverse cooling ecosystem beyond the inflection point in 2030 3️⃣ The roadmap to 2030: What the industry must build and accelerate 4️⃣ How industry collaboration is supporting the industry readiness This isn’t just about cooling—it’s about how our industry adapts to rapid, necessity-driven change. If cold plate caught us by surprise, what’s next for immersion cooling and the broader liquid cooling ecosystem? 💬 Join the conversation: ❓ What lessons can we learn from this breakthrough? 🔍 How can the industry better prepare for the next inflection point in cooling? 🔮 What major technologies or developments could influence the inflection point for immersion cooling? #empoweringopen #ocpvolunteers #edge #OCP #datacenter #innovation #opensource #sustainable #sustainability #datacentres #datacentre #DontFearLiquidCooling #immersion #immersioncooling #liquidcooling #netzero #efficiency #heatreuse #supplychain #PlanforIT Glen Sharkowicz, Florian Hudelmaier, Tim Crawford, Rich Lappenbusch, Peter Poulin, Patrick Smets, Peter Cooper, Joe Capes, Anthony Wanger, Evan Kaufman, Nigel Gore, Ronald van Veen (ATD®), Jessica Gullbrand, Tim Shedd, Emily Clark, Ph.D., Sean S., Cliff Grossner Ph.D., Dirk Van Slyke, Dev Tyagi, Bharath Ramakrishnan, Steve Mills, Cheng Chen, Jaime Comella Gómez-Aller, Peggy B., Robert Bunger, Austin Hipes, Amy Short, PhD, Kelley Mullick, PhD, Maryam Mohagheghi, Kat Sullivan, Brian Kinkade, Moises Levy, Ph.D., Vik Malyala, Jon Summers, Paul Artman, Manfred Engelhard, Patrique Boerboom, Erica T., Gemma Reeves, Kris (Kristin) Fletcher

The Silent Shift: Rethinking the Public Cloud in the Age of Cost and AI Over the years, we’ve seen enterprises sprint toward the public cloud, captivated by its promises of agility, scalability, and innovation. But now the cracks are starting to show—and they're expensive. Case in point: GEICO's 300 million annual public cloud bill, prompting a bold decision to repatriate many workloads to a private cloud built on Open Compute Project (OCP) hardware. The results? Over 50% in compute cost savings and over 60% in storage reductions—all while gaining control, flexibility, and an infrastructure built for future innovation. This isn’t just about cost optimization. It’s a quiet yet significant trend that reflects deeper enterprise realities. Public cloud made sense initially, but for many companies, rising costs, lack of adaptability, and increasing AI workloads are shifting the equation entirely. AI is resource-intensive, and hosting AI workloads in the public cloud often becomes a budget-breaking exercise. In response, we’re seeing a new wave of enterprises exploring private and hybrid solutions, leveraging modular hardware and open-source ecosystems like Kubernetes to design custom, scalable infrastructures. Enterprises are waking up to a simple truth: it’s not always about “cloud at all costs.” Pragmatic strategies that balance public cloud, private cloud, and on-premises investments will define the next decade of IT. GEICO’s story is just one high-profile example, but many others are quietly following suit. The next era will be about the right cloud for the right workload—and AI is accelerating this realization. Read more about GEICO’s bold move and the larger implications for enterprise infrastructure in the age of AI here. What do you think? Is the public cloud’s dominance waning, or are we just talking about isolated cases? Let’s discuss. #CloudComputing #AI #HybridCloud #EnterpriseIT #IToldYouSo #Cloud #CloudComputing #GEICO #AI #CloudRepatriation https://lnkd.in/eBU48txf

Nokia on the rise in Data Centre and Cloud and much more to come! https://lnkd.in/ei5z-XMT