AI Data Center Design
AI Data Center Design To start, the intention of the AI data center needs to be understood up front, as this changes the type of AI data center that will be designed. AI data centers are designed to support two distinct workloads: training and/or inference. While both rely on high-performance computing (HPC) infrastructure, their design […]
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Data Center Investment to Exit Process
Data Center Investment to Exit Process Investing in a data center involves a structured process, from capital deployment to eventual cash-out or exit, whether through operational cash flow, refinancing, M&A, or public listing. Investing in data centers usually follows a structured lifecycle, from initial capital deployment to eventual cash-out, with different strategies depending on the […]
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Unit Conversions
General Unit Conversions After requests to add common units and metrics to the site, here are tables to help with looking up common data center and engineering conversions. Quantity Metric Unit Imperial Unit Conversion Factor Length 1 meter (m) 3.28084 feet (ft) 1 m = 3.28084 ft 1 centimeter (cm) 0.3937 inches (in) 1 cm […]
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Using AI to Design an AI Data Center
Using AI to Design an AI Data Center Artificial intelligence (AI) is transforming data center design by optimizing power efficiency, cooling, and operational workflows. As AI workloads grow, traditional methods of designing and managing data centers are being pushed to increase their limits. AI-driven data center design is a tool that can help maximum efficiency, […]
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Expanding Energy Strategies for Data Centers
Expanding Data Center Energy Strategies Locating data centers near hydroelectric dams is a compelling strategy for achieving 100% renewable energy usage. However, as global data center power demand rises, alternative energy sources such as natural gas, nuclear, wind, and solar must also be considered in the mix. The timing of additional power generation facilities is […]
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ASHRAE Standard 90.4 - Energy Standard for Data Centers
Establishes minimum energy efficiency requirements specifically tailored for data centers, addressing their unique operational demands. This standard provides a framework for designing and operating data centers with an emphasis on energy efficiency, considering the distinct load requirements that differentiate them from other building types. History and Evolution of ASHRAE 90.4 Prior to the development of […]
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Comparing Deepseek and ChatGPT for Data Centers
As artificial intelligence (AI) continues to revolutionize the data center industry, the choice of language models plays a crucial role in optimizing efficiency, sustainability, and operational intelligence. Recently there have been comparisons of two AI-driven chatbot models, Deepseek and ChatGPT. Both models provide natural language processing (NLP) capabilities, but they differ in architecture, performance, security, […]
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Lean Green Data Center
As the demand for digital infrastructure continues to grow, data centers are under increasing pressure to reduce their environmental impact and maintain efficiency while achieving the same reliability at reduced cost. Does that sound like too much of a squeeze? It’s where the industry has been headed for a while, but balancing these demands has […]
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Security of Data Centers
Data centers demand robust security measures to protect access to the equipment and operations. With escalating threats and evolving technological landscapes, adhering to robust security best practices is no longer optional for data centers. These practices ensure the protection of sensitive information, system integrity, and operational continuity. However, threats are not static; attackers continuously develop […]
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AI Data Center Networking and Telecom
As artificial intelligence (AI) applications proliferate across industries, the infrastructure supporting them are evolving to meet unprecedented demands. Data centers, forming the backbone of AI processing and storage, are experiencing transformative advances in their networking and telecommunications systems. These innovations are essential to power AI’s rapid expansion, from deep learning model training to real-time edge […]
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