Hicham DDANI’s Post

This is super interesting paper and highly recommended for everyone to check out! I am just summering few interesting insights in case anyone is too busy too read completely :) 🚀What is an MDC? 💡Micro Data Centres are defined as facilities with power capacities between 25 kW to 300 kW, occupying 800 to 3000 square feet.They handle both CPU and GPU workloads, making them ideal for AI-driven applications. 💡Their smaller size and modularity make them more flexible and scalable than traditional data centres. 💡MDCs are often located in Tier II, III, and IV cities, where they offer localised, low-latency services and take advantage of lower land and operational costs. 🚀MDCs as a Green Solution: 💡Micro data centres can be powered by renewable energy sources, leading the way in creating sustainable AI infrastructure. 💡Energy efficiency is also a key component, with MDCs consuming far less power than traditional mega data centres and offering opportunities for reducing cooling-related power consumption. 🚀Use case of MDCs: 💡Healthcare: AI-based diagnostics, such as radiology AI used by companies like 💡Qure.ai, benefit from MDCs by offering low-latency, localised compute power. 💡BFSI: Banks and financial institutions use MDCs for fraud detection and real-time transactions, where speed and security are critical. 💡E-Commerce: Decentralised e-commerce hubs can benefit from distributed compute power provided by MDCs. 💡IoT and Edge Computing: MDCs are ideal for real-time video processing and other edge computing applications, such as smart city initiatives and security systems. 🚀Economic and Operational Benefits: 💡MDCs are much more cost-effective compared to mega data centres. They require lower CAPEX and OPEX, as outlined in a detailed comparison of traditional and green data centres. 💡An investment of around INR 60 crores in a micro data centre can yield returns up to three times that of larger data centres. 💡MDCs are also easier to finance, and their modular nature allows for incremental scaling based on demand. 🚀Some challenges on way forward: 💡The lack of a clear regulatory framework for MDCs creates barriers to entry. Certifications for MDCs are costly, and policies need to be updated to accommodate their smaller scale. 💡MDCs are not yet widely recognised by the government, despite their potential to transform the computing landscape.

Did you know that most data centre workloads from enterprise storage to AI inference can be effectively supported by micro data centres? And this is with no compromise in service and a boost in sustainability, cost efficiency and lower latency. Discover how micro data centres are shaping the future of AI infrastructure in India. This concept note explores their definition, economic potential, applications in healthcare, BFSI, and government sectors, policy improvements to support MDCs, and the Open Cloud Compute (OCC) concept. Visit the OCC webpage to read, share, and provide feedback on "Micro is the new mega: A note on micro data centres" by the People+ai team OCC team. #MicroDataCentres #AIInfrastructure #IndianTech #OpenCloudCompute #Sustainability #DistributedComputing #CloudComputing https://peopleplus.ai/occ Tanvi Lall Tanuj Bhojwani Pramod Varma Shreya Mandi Srinivas Varadarajan Kalyan M. Mohan Srinivas Papasani swaroop rajagopalan Prasanna Kakhandaki Manu Awasthi Divyansh Goel Ameya Pimpalgaonkar

As AI adoption rises, it is crucial for data centers to have increased storage, computational power, and real-time processing capabilities. Maximize your AI/ML and High-Performance Computing potential with MAA10 Chennai's advanced infrastructure, supporting up to 150kW per rack. We ensure your mission-critical workloads run efficiently and securely. Learn More - rb.gy/vr2rb4 #AIready #DataCenter #CarrierNeutrality #DigitalConnexion #DigitalInfrastructure #Colocation 

Dell'Oro Group provide a comprehensive look at data center switch and AI network trends, with estimated forecasts into 2027. As demand for higher performance and lower latency continues, several key trends are emerging that are worth noting for folks in the network and #DigitalInfrastructure space. • HPC, AI/ML: The shift towards AI and machine learning workloads is a significant driver in the data center switch market. The need for robust, high-speed networking to support these demanding applications is pushing the market to innovate faster than ever. • Hyperscaler's set the tone: Hyperscaler's continue to be at the forefront, with their need for massive, scalable infrastructure driving much of the market’s growth. Their investments in AI networking solutions are setting the pace for the industry, influencing technology adoption, supply chains and market dynamics. • Shifts in Vendor Landscape: As demand for specialized AI networking grows, there’s a noticeable shift in the vendor landscape. Established players are being challenged by new entrants focused on AI-optimized solutions, leading to a more competitive and innovative market environment. • Impact on Enterprise Data Centers: While hyperscalers dominate the narrative, enterprise data centers are also adapting, albeit at a different pace. The push towards AI capabilities is prompting enterprises to rethink their networking strategies to stay competitive in this rapidly evolving space. With Ultra Ethernet Consortium set to deliver products early next year, NVIDIA will have some competition at the top end. For those of us involved in these areas, understanding these trends is essential when driving strategy, optimizing investments, and maintaining a competitive edge. https://lnkd.in/g73y7vxd

🚀 AI Driving India's Data Center Boom! 🌐 India’s data center industry is surging, powered by an AI revolution that demands massive processing and storage capacity. NVIDIA CEO Jensen Huang projects nearly a 20x boost in India’s computing power within a year—highlighting AI’s transformative impact. Major players like AWS and Microsoft Azure are expanding, and micro-data centers are now making AI more accessible in Tier II and III cities. 🏙️⚙️ With sectors from healthcare to logistics relying on real-time data, this expansion is essential. But growth isn’t just about scale; it’s about sustainability, with data centers investing in renewable energy and energy-efficient cooling. 🌍♻️ As India’s digital economy grows, data centers are laying the foundation for an AI-powered future. Exciting times ahead! 🌠💡 #AI #DataCenters #IndiaTech #DigitalTransformation #Innovation #IndiaAI #TechInfrastructure #Innovation #DigitalEconomy #SustainableTech

The need for robust and scalable solutions is paramount as organizations strive to handle the extensive computational and networking demands of AI model training efficiently. Scale your AI data center effortlessly with integrated, tested units of infrastructure for rapid datacenter expansion. https://lnkd.in/gTcZpqiR #AI #AiCapabilities #AiPlatform #AiInfrastructure #GenerativeAI #AiDeployment #PowerEdge #AiDataCenter

EXCITING times for NetApp India: we've doubled our revenue in just two years, marking significant growth and increased market share across banking, healthcare, telco, commercial, and government sectors 🎉 In this video interview with NDTV, our Puneet Gupta discusses the robust data centre ecosystem that NetApp boasts from cloud to infrastructure services — enabling us to deliver intelligent data infrastructure to our customers. As #AI adoption begins to take off in India, we're at the forefront: providing customers with the high-performance storage solutions they need to harness their data effectively. Our cutting-edge technology ensures that businesses can train and build AI models with unparalleled efficiency and accuracy. Catch the full interview here: https://ntap.com/3Xc5D1Z

A recent Omdia report forecasted that the #datacenter infrastructure management, DCIM, market will reach $6.3 billion by 2030, driven by the convergence of operations and IT departments. 💡 "As we enter a new era where AI drives significant growth in the compute market, the influx of GPUs has caught the attention of CIOs due to the rising power costs of running data centers," said Roy Illsley, chief analyst, Omdia. Watch the full interview here ▶ https://lnkd.in/dhjSGt8j #ISMGNews #CIOinc #AI #genai Sandhya M.

#EdgeCompute and The Necessity of #Localization and #DataSovereignty | #DataCenter #HPC #AHB.AI #Hyperscale data centers are being announced every week, and some of these are specifically for accelerated compute. Edge compute do not get the type of announcement that hyperscale do due to the relative scale, but edge compute, and especially edge #hpc are probably more important than a country wide hyperscale, when it comes to invention and innovation. Edge compute and #EdgeHPC enable a localized compute for industry, #universities and #localgovernment of all sizes. The ability to experiment, with all three stakeholders, quickly, and cheaply means smart city tech is relevant to the challenge statements for that city. For instance, should the world suffer another coronavirus type #pandemic then by having edge compute the local authorities can better manage their local situation better by being able to analyze the population, and also deliver services relevant to that city – rather than the uniform approach that hyper scalers (who may not be in the same city) or the public cloud can offer. Edge compute works in tandem with the local #telco operator and the national level #hyperscaler, so there is more functionality and feature rich services. Edge compute can now work in real-time – inference – but still offload training, perhaps using data from multiple edges, and aggregate the into the #hyperscaler for updating the trained model. Watch whole video here - https://lnkd.in/duCDVFsf If you want to know more about what we do in Al Hathboor Bikal. AI Message us and don't forget to follow us in facebook, linkedin, twitter, instagram and youtube. You may also visit our website at www.ahb.ai