FLUIX AI

🚀 Introducing A.I.M.I. from FLUIX AI 🚀 our AI platform that helps data centers save on energy. We’re thrilled to announce that our AI platform, A.I.M.I., is now live and autonomously controlling assets at our pilot partner’s site, saving 40% in energy costs! In this video, I walk you through how A.I.M.I. seamlessly integrates within data center environments, using AI to optimize energy use, maintain ideal conditions, and significantly reduce costs. Our platform captures critical data like energy, temperature, humidity, and IT load to make real-time adjustments, demonstrating remarkable efficiency improvements. Key Highlights: 1. Autonomously manage facility systems without human intervention to save energy. 2. Provide key efficiency metrics in real-time and predictive (PUE, energy, temp/humidity, etc.). 3. Autonomous alerts and suggestions to optimize performance. We are incredibly grateful to Solideon, our pilot partner, for providing the opportunity to validate our AI's capabilities. We want to expand and partner with more data centers to replicate these impressive results. This is V1 of our platform, and we will regularly post product updates as we continue to improve and innovate—shoutout to our CTO, Chase Overcash, and team for helping us reach this critical milestone. If you’re a data center operator interested in partnering with us, visit FLUIX.AI to learn more. #FLUIX #AI #EnergyEfficiency #DataCenters #Innovation #Tech #automation #hvac #energy #water #chiller #automation #loadbalancing #it #dcim #buildingautomation #smartbuilding #smartcities John Wallerich, John Kinson

Welcome back to automating this I.T. closet! 📽️ Part 2 of our series is here. Today, we're showing how we control a Daikin unit without a remote, using an IR sensor and FLUIX AI Autopilot platform. Check out how we achieve energy savings and optimize facility operations! 🌐⚡ While we demonstrated the energy-saving potential of our FLUIX AI Autopilot system, we do not install sensors in our clients' facilities. 🏭 Instead, we partner with sensor companies to gather data and connect to existing hardware. We are an AI company that operates the intelligence and controls on existing facility systems to save energy, resources, and help increase revenue for data centers. 💡 Learn more at: https://www.fluix.ai/ #DataCenters #AI #Automation #EnergyEfficiency #HVAC #Controls #FLUIX #AIMI #Sustainability #Tech #FacilityManagement #Innovation #ResourceOptimization #energy #cooling #money

Data is crucial for automation. 📊 The video below shows how we acquired data at our pilot partner's site to feed into our AI platform and automate HVAC controls, achieving 65% energy savings with simple sensors. 💡 Although we demonstrated the energy-saving potential of the FLUIX AI Autopilot system in this test environment, we do not install sensors in our clients' facilities. 🏭 Typically, critical infrastructures such as data centers and manufacturing facilities already have the necessary energy and temperature sensors. However, these sensors are often disparate and isolated. 🔌❄️ If sensors are missing, we collaborate with sensor partners to implement data capture. Our AI Autopilot aggregates all sensor and control data into one platform and autonomously manages facility systems (HVAC, IT, water, etc.) to save energy. 🌐⚡ Read more about our recent case study where we cut HVAC energy use by 65% in our pilot's server room: https://lnkd.in/eh43mbTd #DataCenters #AI #Automation #EnergyEfficiency #hvac #controls #fluix #aimi #Sustainability #Tech #FacilityManagement

🚨 Did you know that for every 20 questions you ask an AI Chatbot, it can consume a bottle of freshwater from reservoirs? This happens because evaporative HVAC systems are used to keep servers inside data centers cool 💧🌡️ At FLUIX AI, we're tackling this issue head-on. Our AI Autopilot - A.I.M.I. helps data centers use less water and save up to 40% in energy costs by intelligently managing facility systems (HVAC, IT, water, lighting) through advanced AI controls 🤖💡💧 Learn more at: https://www.fluix.ai/ Stay tuned for a demo roll out in the coming weeks! 🚀 Check out this study: https://lnkd.in/expaA8pc #DataCenters #AI #Sustainability #Innovation #EnergyEfficiency #WaterConservation #Tech #FacilityManagement #automation #water #energy #cooling #fluix #aimi Chase, John, John

How FLUIX AI saves data centers money 💰 Data centers, which power #AI, consume massive amounts of energy ⚡️. To address this, we’ve built an AI platform that optimizes facility management, including HVAC, IT, water, and lighting systems, to save energy. Using Eco-AI to make traditional AI more efficient🤑 #DataCenters #EnergyEfficiency #Sustainability #Innovation #Tech #AI #EcoAI #FacilityManagement #automation #buildings #smartcities #hvac #energy #water

Data Centers are complex environments. Colocation data centers are even more complex because multiple tenants are renting our equipment, space, and bandwidth. 📡🏢 In a colocation data center, you might have: A large government customer taking 40% of the raised floor space with 1000-watt servers 🏛️ An HPC (High-Performance Computing) customer taking 10% of the space with 4000-watt servers filled with GPUs 🖥️💡 Mixed-use tenants occupying the rest of the space with varying heat loads 🌡️ The image below from Vertiv highlights the different equipment and facilities systems used in these environments. The issue? In most real environments we visit and see, these colos often have fragmented facility systems, including different CRAC (Computer Room Air Conditioning) and CRAH (Computer Room Air Handler) units. Not to mention the water, UPS, various monitoring/controls software. This fragmentation arises from several factors: 1. Client Requirements: Different clients have unique cooling needs, leading to a mix of CRAC and CRAH units within the same facility. 2. Legacy and Modern Systems: As data centers evolve, they often incorporate both old and new cooling technologies to meet expanding demands. 3. Vendor Diversity: Clients may prefer or require specific vendors, resulting in varied equipment across the facility. 4. Scalability: Modular designs in colocation centers allow for flexible and scalable solutions, which can lead to a mix of different systems. This diversity can make managing and optimizing the facility's overall efficiency more challenging. Integrated facility management solutions can help harmonize these systems to improve energy efficiency and performance. AIMI (AI Managed Infrastructure) by FLUIX AI addresses the fragmentation problem in colocation data centers by leveraging advanced AI to seamlessly integrate and manage diverse facility systems. 1. AIMI learns the environment from readily available documentation. Then connects and centralizes fragmented facility systems (HVAC, IT, water, lighting) on one platform. 2. AIMI optimizes the performance of different CRAC and CRAH units, regardless of their manufacturer or age, by using real-time data and predictive analytics from the environment and different equipment. 3. This intelligent system dynamically adjusts cooling and power resources to match the varying demands of different tenants, ensuring optimal efficiency and reducing energy costs. 4. AIMI's ability to harmonize fragmented systems results in a more cohesive and efficient data center environment. For more details, visit: https://lnkd.in/eVaHX_VQ #DataCenters #Colocation #Tech #Innovation #CoolingSystems #Efficiency #FacilityManagement 🌐💼 Chase, John, John Image source: Vertiv