Jess Brant’s Post

Booming interest in AI continues to fuel demand for new data center construction, expansions, and retrofits. Meanwhile, the data industry is grappling with highly constrained power availability, rising land costs, and sustainability issues. The challenges presented by AI facilities will lean heavily on intensive, waterless liquid cooling technologies that enable higher rack densities while reducing energy costs and carbon footprint. https://hubs.li/Q02NmVQq0 #ZutaCore #liquidcooling #datacenters #ai #hpc #SustainableTech #HyperCool #AIComputing #sustainability #zeroemissions

Leverage your infrastructure to capitalize on AI: Integrating AI, Sustainability, and Edge Delivery for Future-Ready Infrastructure 🚀 As AI continues to redefine technology and business, data centers must evolve to meet the demands of high-performance workloads while prioritizing sustainability. In this post, we’ll dive into how cutting-edge strategies and emerging trends are reshaping the data center landscape. From scaling for AI-intensive applications to achieving eco-friendly operations, these innovations are setting the stage for the future. Join the conversation as we explore how to navigate the challenges and seize the opportunities in this rapidly evolving field.

🔥 Is your data center ready for the AI revolution? 🔥 As AI workloads become more demanding, traditional cooling methods just can't keep up. Enter hybrid air and water cooling solutions—a game-changer for optimizing performance, reducing energy costs, and scaling with your AI infrastructure. Many options exist but sometimes a simple workload relevant alignment of extra cooling can enable many legacy data centers to still make sense. With hybrid cooling, you get: • Optimized Efficiency: Balance thermal loads intelligently. • Scalability: Grow your data center alongside your AI demands. • Sustainability: Lower your carbon footprint and operational costs. • Reliability: Minimize downtime and maximize uptime. Future-proof your AI capabilities. Let’s talk about how hybrid cooling can transform your data center and many of our Flexential Data Centers can help achieve that outcome. #AI #DataCenter #Innovation #CoolingSolutions #Sustainability #Tech

🚀 AI and Edge Data Centers: The Future of High-Performance Infrastructure 🌍 As the demand for AI grows, so does the need for efficient, scalable data centers that can handle the power-hungry workloads of tomorrow. Traditional data centers struggle with AI's energy requirements, particularly as GPUs consume 10-15x more power than CPUs. This surge is already impacting sustainability goals, with many organizations facing increased carbon footprints. The solution? Edge data centers. By bringing data processing closer to the source, these centers reduce latency, improve real-time performance, and offer lower energy consumption—helping businesses meet their AI needs while remaining eco-conscious. 🌱 A game-changer in this space is Direct Liquid Cooling (DLC), a sustainable, high-efficiency cooling technology that is 50 to 1,000 times more efficient than air cooling. DLC helps data centers manage the heat generated by AI workloads, ensuring optimal performance and reduced energy use. As AI continues to reshape industries, edge data centers will become the backbone of innovation—supporting the real-time analytics, automation, and decision-making that drive success. At ark data centers, we’re leading the charge with future-focused, scalable solutions to meet the evolving demands of the AI era. 💡 Check out the latest article from Data Center Frontier on how ark data centers positions itself as a leader in AI infrastructure. https://lnkd.in/gEppACN5 #AI #EdgeComputing #DataCenters #Sustainability #Innovation #DigitalTransformation #TechTransformation #arkdatacenters #AIInfrastructure #LiquidCooling

🌐 Leverage your infrastructure to capitalize on AI: Integrating AI, Sustainability, and Edge Delivery for Future-Ready Infrastructure 🚀 As AI continues to redefine technology and business, data centers must evolve to meet the demands of high-performance workloads while prioritizing sustainability. In this post, we’ll dive into how cutting-edge strategies and emerging trends are reshaping the data center landscape. From scaling for AI-intensive applications to achieving eco-friendly operations, these innovations are setting the stage for the future. We’ll explore: ⚡High-Performance Data Centers for AI Workloads: Optimizing scalability, reducing latency, and leveraging AI-optimized hardware like GPUs and TPUs to handle resource-intensive tasks effectively. ⚡Sustainability Strategies: Reducing environmental impact through energy-efficient technologies, renewable energy adoption, and waste heat recovery systems. ⚡Edge Computing Revolution: Enhancing performance and efficiency by processing data closer to its source, reducing latency, and improving scalability. ⚡Hybrid Architectures: Combining edge and central data center capabilities to create a seamless, high-performing, and responsive infrastructure. ⚡Real-World Examples and Best Practices: Success stories of data centers achieving the perfect balance of high performance and sustainability. Join the conversation as we explore how to navigate the challenges and seize the opportunities in this rapidly evolving field. #DataCenters #AI #Sustainability #EdgeComputing #Innovation #Technology

🌐🔥 As data centers evolve to accommodate more powerful AI technologies, the shift from traditional air cooling to liquid cooling is becoming not just a trend but a necessity. Nvidia's latest AI chips are pushing the envelope, necessitating liquid cooling solutions to manage their intense heat generation effectively. 👉 Why is liquid cooling critical? Here's what you need to know: - Traditional cooling methods can't keep up with the thermal demands of today’s high-performance data centers. - Liquid cooling is more effective, significantly reducing the environmental impact and energy costs associated with maintaining optimal temperatures. - Studies show that liquid cooling can improve energy efficiency in data centers by up to 95%! 📊 The market reflects this shift: From a value of $1.29 billion in 2016, the global market for data center liquid cooling is expected to soar to $4.27 billion by 2023. Moreover, 36% of operators have already implemented these technologies, with an additional 44% considering them. 💡 How is your organization adapting to these technological advancements? Are you considering the leap to liquid cooling? Let’s discuss the future of data center technology in the comments below! #DataCenters #LiquidCooling #Nvidia #AI #TechTrends #Innovation

➡ Do you have the right cooling technology to put artificial intelligence to work? The average rack power density today is around 15 kW/rack, but AI workloads, according to industry reports, will command upwards of 60 – 120 kW/rack. With the accelerating pace of high-density workloads, direct #liquidcooling technology will be the bridge for #datacenters in the #AI era. Here’s why: 🌡️ Superior Thermal Performance: Liquid cooling offers superior heat dissipation capabilities compared to traditional data center cooling methods. 🔋 Greater Energy Efficiency: Single-Phase Direct Liquid Cooling uses less energy compared to other data center cooling methods. 💻 Higher Computing Density: Liquid cooling maximizes the utilization of available space. This allows data centers to accommodate more computing power in the same footprint, optimizing resources & increasing revenue-generating potential. What can our cooling technology do for you? https://lnkd.in/drizSUF

The surging demand for AI workloads is posing a formidable challenge to the Data Centre & Data Centres industry. Our current infrastructure, designed for less-intensive, human-generated traffic, is increasingly under pressure. As AI technology evolves with self-driving cars and widespread automation, the energy consumption of data centers is projected to grow from 3% to 10% by 2025. It's time we rethink our energy sources and opt for a more sustainable, diversified grid. If you've not yet evaluated the energy efficiency of your Data Centre, it's high time for introspection. As Data Centre design specialists at Sigma Technology and Engineering Ltd, we can guide you on how to optimally meet these demands. #DataCenters #DataCentres #Cloudcomputing #ICT #AI #ArtificialIntelligence #ML #MachineLearning #Edge #EdgeComputing #Engineering #Construction.

Do you have the right cooling technology to put AI to work? The average rack power density today is around 15 kW/rack, but AI workloads, according to industry reports, will command upwards of 60 – 120 kW/rack. With the accelerating pace of high-density workloads, direct #liquidcooling technology will be the bridge for #datacenters in the #AI era. Here’s why: 🌡️ Superior Thermal Performance: Liquid cooling offers superior heat dissipation capabilities compared to traditional data center cooling methods. 🔋 Greater Energy Efficiency: Single-Phase Direct Liquid Cooling uses less energy compared to other data center cooling methods. 💻 Higher Computing Density: Liquid cooling maximizes the utilization of available space. This allows data centers to accommodate more computing power in the same footprint, optimizing resources & increasing revenue-generating potential. What can our cooling technology do for you? https://lnkd.in/dwgaq-P

Increasing sustainability in data centres is often overlooked amidst the bigger picture of AI, ML, and Edge computing. We recently saw Gamma team up with NLighten Energy to reduce its carbon footprint by 80% per unit of data by 2030. They are aiming to generate 25,000kWh annually and save more than 200,000 kg CO2 equivalent emissions over the project's lifetime. Does your data centre give sustainability the weight it deserves in the grand scheme of things? Are you overlooking potential savings? Sigma Technology and Engineering Ltd are experts in designing energy-efficient solutions. Consider reaching out for insights and solutions, to walk the sustainable path, while ensuring your data centre infrastructure needs are met. #DataCentres #DataCenters #CloudComputing #ICT #AI #ArtificialIntelligence #ML #MachineLearning #Edge #EdgeComputing #Engineering #Construction