🌊 Did you know that Direct Liquid Cooling can reduce data center energy consumption by up to 40%? This isn't your grandfather's cooling system. I was stunned when I first learned this. Like many IT professionals, I believed traditional air cooling was the gold standard for data centers. The conventional wisdom? Air cooling is reliable, proven, and "good enough." But here's what deeper research revealed: Direct Liquid Cooling is 1500x more efficient at removing heat than air It enables 2-3x higher compute density in the same footprint. It can operate in higher ambient temperatures, reducing overall cooling costs. Real-world impact: A major tech company implemented DLC in their new data center, achieving: • 50% reduction in cooling costs • 30% increase in computing power • Zero thermal throttling events. This paradigm shift has transformed how I approach advising and research in data center design. Instead of asking "How can we optimize air cooling?" I now ask "Why aren't we using liquid cooling?" The future of computing demands more efficient cooling solutions. As AI and high-performance computing become mainstream, traditional cooling methods won't cut it. Key takeaway: What worked yesterday won't necessarily work tomorrow. We must constantly challenge our assumptions about "best practices." 🤔 Question for my network: What other long-held beliefs in data center design need challenging? Let's discuss in the comments. #DataCenter #Innovation #Sustainability #TechnologyEvolution #GreenIT (DISCLAIMER: For those more interested in finding trouble where there is none, We are NOT promoting any specific technology in this post. We are merely sharing the advancements in technology in the AI Era. Please consult with your IT/Technical advisor about using immersion cooling technology or any kind of liquid mixed with electronic equipments. We are not responsible for your computer crashing if you decide to submerge it in plain water).
San Antonio Artificial Intelligence Worldwide Leadership’s Post
More Relevant Posts
-
Founder of Alpha Binwani Capital, a private investment firm that maximises clients' wealth by investing in emerging global trends and following institutional investments using a proprietary algorithm.
Data centers consume significant amounts of water primarily for cooling purposes. A typical 100MW data center uses about 1.1 million gallons of water daily, equivalent to the daily usage of a city with 10,000 people. Water consumption varies based on the facility size, cooling system, and climate conditions. Hyperscale data centers, like those of Google, can use up to 550,000 gallons daily. Water Usage Effectiveness (WUE) is a metric used to measure efficiency, with the average being 1.8 liters per kWh. Demand for AI processing power is leading to a large data center buildout of AI computing infrastructure. The latest AI servers generate more heat than traditional computing systems, so they require more cooling. Efforts are being made to reduce water usage through innovative cooling technologies and sustainable practices. Data centers employ several effective water-saving technologies: 1. Air-Cooled Systems: These systems use fans or natural convection to dissipate heat, reducing water consumption compared to traditional water-cooled systems. 2. Liquid Immersion Cooling: Servers are submerged in a non-conductive liquid coolant, efficiently transferring heat and minimizing water use. 3. Direct Liquid Cooling: This method circulates water directly through servers in a closed loop, effectively cooling without water waste. 4. Water Reuse and Recycling: Implementing systems to capture and treat wastewater for reuse can significantly reduce overall water consumption Contact Us: bit.ly/AlgoTrader Website: alphabinwanicapital.com Free Newsletter: bit.ly/AlgoNewsletter #Thematic #AI #MoneyMakesMoney #FutureProof
-
-
Data center cooling just hit the headlines as the hottest innovation in the sector, and we're thrilled to share the latest insights with you! 📰💡 According to the article, advancements in data center cooling technology are revolutionizing the industry by enhancing energy efficiency and reducing operational costs. At 2NSystems, we understand the critical importance of efficient cooling systems in optimizing mission critical infrastructure performance. By staying ahead of the curve with cutting-edge cooling solutions, we empower our clients to meet the increasing demands of their data center environments while maintaining sustainability and cost-effectiveness. Dive deeper into this game-changing trend with Forbes' insightful article: https://lnkd.in/ezwCH9Zc #DataCenterInnovation #CoolingTechnology
-
Global Top8 OEM Optics Plant, Producing Best NVIDIA InfiniBand HDR/NDR/XDR Transceiver & Cables. [Performance the Same, Cost Saving & Fast Delivery] Focus on HPC & AI & ML | NVIDIA H100/H200 IB | RoCE. #DeepSeek supplier
#NADDOD 𝐅𝐀𝐐𝐬 — 𝐈𝐦𝐦𝐞𝐫𝐬𝐢𝐨𝐧 𝐋𝐢𝐪𝐮𝐢𝐝 𝐂𝐨𝐨𝐥𝐢𝐧𝐠 𝐓𝐫𝐚𝐧𝐬𝐜𝐞𝐢𝐯𝐞𝐫 ❓ : What is the heat dissipation efficiency of #liquid-cooled optical modules, and what advantages do they offer compared to traditional #air-cooling methods? 💡 : Liquid-cooled optical modules use liquid coolant to directly absorb and transfer heat. They can more efficiently manage the heat generated in high-density data centers, especially in high-power applications. Liquid cooling technology provides better heat dissipation and a higher Power Usage Effectiveness (PUE) ratio. ❓: How does maintenance of liquid-cooled optical modules differ from traditional air-cooled modules? 💡: Maintenance of liquid-cooled optical modules may require a specialized coolant management system, including regular checks on coolant quality, system leaks, and potential maintenance of cooling system circulation pumps. In contrast, air-cooled modules mainly involve cleaning air filters and maintaining fans. ❓:What are the considerations for deploying liquid-cooled optical modules in a data center? 💡: Factors to consider when deploying liquid-cooled optical modules include the data center's spatial layout, coolant type and circulation system design, system scalability, maintenance and monitoring requirements, as well as compatibility with existing data center infrastructure. Check NADDOD Immersion liquid cooling portfolios: https://lnkd.in/gVUMkf5p 💌 Nate@naddod.com #AI #HPC #ImmersionCooling #DataCenter #LiquidCooling #Transceiver
-
-
The Rising Trend in Data Centers: Liquid Cooling Technology🌊❄️ 🌟 What’s Driving the Shift to Liquid Cooling? 🌍 Eco-Friendliness and Market Opportunities 🛠️ Taiwan’s Active Role in Liquid Cooling Development 🚀 Is Your Business Ready for the Liquid Cooling Era? 👉https://lnkd.in/gfjQU62p Share your thoughts in the comments below—how do you see liquid cooling shaping the future? Or share your company’s experience in adopting this cutting-edge technology. Let’s explore the endless possibilities together! 🌐 #LiquidCooling #DataCenters #AITechnology #HighPerformanceComputing #GenerativeAI #GreenTechnology #SustainableIT #CoolingSolutions #ServerCooling #TechInnovation #EnergyEfficiency #CarbonReduction
-
TOP VOICE & BRAND AMBASSADOR for AI INFRASTRUCTURE & AI DATA CENTERS | 620K LinkedIn Reach in 2024 | Building the Future of AI Infra | GPU Cloud | AI & HPC Solutions | Liquid Cooling | Hyperscalers | FOLLOW ME ✅
AI Heats Up Data Center Cooling As data centers ramp up to meet the demands of AI workloads, developing innovative ways to keep systems cool is critical. When it comes to cooling a chip, there are two sources of heat that must be managed, and available solutions may focus on cooling down the system or removing heat from the system. One source of heat is the processor itself, which is the compute engine, Athar Zaidi, GM of power ICs and connectivity systems for Infineon Technologies’ power and sensor systems division, told EE Times in an interview. A large amount of heat is also generated through the power management solution around the processor, which are not 100% efficient. “Every time you do a voltage or current conversion, you lose efficiency, and that efficiency is manifested as heat,” he said. https://lnkd.in/gi6kQBVN
-
Rittal – The System. The world's leading systems provider. Engineering, Manufacturing, Automotive, Food & Beverage, Tech
Here’s a fascinating statistic: 90% of the world's data was generated in the last two years, and daily processing volumes reaching an average of 2.5 trillion bytes! This underpins the increasing demand for high-performance processers that can handle the data management requirements (and also the growing complexity of AI models). It also explains why we need more efficient colling systems! With this in mind, Rittal developed direct liquid cooling for data centre thermal management. Learn more: https://smpl.is/9lsef #datacentre #coolingsolutions #thermalManagement
-
Lawyer || Public Policy & Governance || Regulatory Compliance || Fiscal Decentralization || Consumer Protection || AI Governance
AI premised machines are not only demanding when it comes to power (electricity) use but equally demanding on the water consumption front. Interesting revelation from the enclosed study. The demand for water thanks to AI powered data centres has skyrocketed! Africa, are we ready?
AI data centers aren’t just taxing electrical grids-they are using increasing amounts of water, per the Tech Crunch article linked below. Gist of the piece: 1) “The AI boom is fueling the demand for data centers and, in turn, driving up water consumption. (Water is used to cool the computing equipment inside data centers.)” 2) According to the Financial Times, “in Virginia — home to the world’s largest concentration of data centers — water usage jumped by almost two-thirds between 2019 and 2023, from 1.13 billion gallons to 1.85 billion gallons.” 3) “Many say the trend, playing out worldwide, is unsustainable.” 4) “Microsoft, a major data center operator, says 42% of the water it consumed in 2023 came from ‘areas with water stress.’ Google, which has among the largest data center footprints, said this year that 15% of its freshwater withdrawals came from areas with ‘high water scarcity.’” 5) Many data centers recycle water in a closed-loop system, but much of what they consume is set aside for humidity control, and it evaporates. 6) “Especially in drier regions, air that’s not humidified can become a strong conductor of static electricity, which is usually bad news for computers.” Dave’s take: While many experts have pointed out the growing demands that AI is making on the world’s electrical grids, its increasing need for water has not received the same public attention, though it may be no less of a sustainability issue. Per the FT, estimates indicate that US data centres consumed more than 75 billion gallons of water in 2023, roughly equivalent to the amount that London consumes in four months. A recent FT piece notes Amazon has committed to “being a good water steward” and that its data centre business would be “water positive” by 2030, i.e. “that the company will return more water to communities than it uses in direct operations. Microsoft and Google have made similar commitments.” This echoes the commitments that Big Tech had made to decrease its electricity demands going forward. Whether advancements will allow them to keep those commitments is an open question. They had better—by 2030, the UN estimates that almost half of the world's population will be facing severe water stress. Readers of my posts know that I have been highlighting a possible conflict between environmentalists and Big Tech as AI’s voracious appetite for power runs afoul of decarbonization efforts. However, water usage could open up a second front in any potential policy war, given the existing stress on global freshwater supplies. So far, the Tech giants seem to have avoided any significant hostilities in regulatory agencies or the public square. But for how long will that be the case? And how would a dispute between the Green lobby and Big Tech play out? https://lnkd.in/ginmBQ3z
-
AI data centers aren’t just taxing electrical grids-they are using increasing amounts of water, per the Tech Crunch article linked below. Gist of the piece: 1) “The AI boom is fueling the demand for data centers and, in turn, driving up water consumption. (Water is used to cool the computing equipment inside data centers.)” 2) According to the Financial Times, “in Virginia — home to the world’s largest concentration of data centers — water usage jumped by almost two-thirds between 2019 and 2023, from 1.13 billion gallons to 1.85 billion gallons.” 3) “Many say the trend, playing out worldwide, is unsustainable.” 4) “Microsoft, a major data center operator, says 42% of the water it consumed in 2023 came from ‘areas with water stress.’ Google, which has among the largest data center footprints, said this year that 15% of its freshwater withdrawals came from areas with ‘high water scarcity.’” 5) Many data centers recycle water in a closed-loop system, but much of what they consume is set aside for humidity control, and it evaporates. 6) “Especially in drier regions, air that’s not humidified can become a strong conductor of static electricity, which is usually bad news for computers.” Dave’s take: While many experts have pointed out the growing demands that AI is making on the world’s electrical grids, its increasing need for water has not received the same public attention, though it may be no less of a sustainability issue. Per the FT, estimates indicate that US data centres consumed more than 75 billion gallons of water in 2023, roughly equivalent to the amount that London consumes in four months. A recent FT piece notes Amazon has committed to “being a good water steward” and that its data centre business would be “water positive” by 2030, i.e. “that the company will return more water to communities than it uses in direct operations. Microsoft and Google have made similar commitments.” This echoes the commitments that Big Tech had made to decrease its electricity demands going forward. Whether advancements will allow them to keep those commitments is an open question. They had better—by 2030, the UN estimates that almost half of the world's population will be facing severe water stress. Readers of my posts know that I have been highlighting a possible conflict between environmentalists and Big Tech as AI’s voracious appetite for power runs afoul of decarbonization efforts. However, water usage could open up a second front in any potential policy war, given the existing stress on global freshwater supplies. So far, the Tech giants seem to have avoided any significant hostilities in regulatory agencies or the public square. But for how long will that be the case? And how would a dispute between the Green lobby and Big Tech play out?
-
Data Center Energy Efficiency Expert | Helping Businesses Optimize Infrastructure & Reduce Carbon Footprint
Data Centre Managers, your cooling systems have evolved. The data centre of 2004 vs. 2025 — it's a new world. In just 2 decades, the landscape of cooling shifted. → Then: Air cooling, moderate heat densities. → Now: Liquid cooling, high heat densities. This evolution isn't just about how you cool. It's also about efficiency, density, and cost. The methods, effectiveness, and benefits - all transformed. Liquid cooling is up to 3000 times more effective. H/T insights on advanced thermal management techniques. This shift is essential for AI and high-performance computing. Managers, here's how to adapt: → Implement direct-to-chip cooling. → Invest in immersion cooling systems. → Optimize heat absorption with cold plates. → Enhance liquid circulation with advanced coolants. → Improve heat transfer with efficient CDUs. → Focus on continuous recirculation for stability. To thrive in this new era, your cooling strategy is key. As a manager, it's not just beneficial; it's essential. The future of data centre cooling is now. Embrace it or fall behind. Feel free to reach out or connect if you'd like to discuss further—let’s keep in touch!
-
-
Electrical Engineer | Data Center Specialist with Expertise in Power Distribution and Efficiency Optimization
Innovative Liquid Cooling Solutions for Data Centers The whitepaper explores the evolution of cooling systems in data centers, emphasizing the increasing importance of efficient cooling technologies due to the rising power and density of modern electronics, particularly in AI and machine learning. Traditional air cooling systems are no longer sufficient, necessitating the adoption of liquid cooling solutions. • Rising Cooling Demands: Modern high-density technologies and powerful electronics generate significant heat, requiring more efficient cooling methods. • Three Liquid Cooling Categories: • Single-phase immersion: Involves submerging components in oil, effective but limited to about 400W per chip. • Two-phase immersion: Can handle higher power (900-1000W) but uses perfluoroalkyl substances (PFAS), which are environmentally harmful and facing regulatory restrictions. • Direct Liquid Cooling (DLC): Uses cold plates with liquid jets aimed directly at the hottest parts of the chip, allowing precise cooling and handling over 3500W per socket. JetCool's Innovations: JetCool's SmartPlate™ system employs microscopic fluid jets for precise cooling at the chip level, reducing server temperatures significantly. Their SmartPlate System, a self-contained liquid-assisted air-cooled server, is designed to fit within existing server infrastructure, eliminating the need for extensive facility upgrades. #LiquidCooling #DataCenter #DataCenters #DataCenterCooling #JetCool #SmartPlate #DirectLiquidCooling #HighDensityComputing #ThermalManagement #EfficientCooling #AIandMLCooling #SustainableTech
