The Current And Future Path To AI Inference Data Center Optimization
While training has been the focus, inference is where AI's value is realized. Training clusters need large amounts of power.
Amazon spends $102 million on land for AI hub: Server farms vs. data centers explained
Amazon bought hundreds of acres of land in Ohio to build a massive data center. Are server farms and data centers different?
DeepSeek just blew up the AI industry’s narrative that it needs more money and power
The Chinese company’s large language model is basically a cheaper, more efficient ChatGPT, built on a fraction of OpenAI’s ...
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How Hybrid Cooling Is Future-Proofing Data Centers For The Next Generation Of AI
With the demand for data higher than ever, data center cooling is crucial. Liquid and hybrid cooling are the future of the ...
Expanding Needs of AI Data Centers Have Profound Effects on Server Vendor's Roles
The enormous demand for generative Artificial Intelligence (AI) has led to unprecedented CAPEX by hyperscalers, foundation model builders, and those capitalizing on the exploding demand for compute.
Stargate AI infrastructure project taps Texas for data centers
Stargate — the joint venture between OpenAI, Softbank and Oracle — is starting its AI infrastructure plans with 10 data ...
This $500 Billion AI Data Center Investment Could Accelerate Demand for This Crucial Fuel
President Trump recently announced that several companies in the private sector are teaming up to invest up to $500 billion ...
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Advanced Networking for AI and ML: Scaling to Meet Tomorrow’s Demand
Manja Thessin, Enterprise Market Manager for AFL, explains how data center operators can confidently and quickly achieve the ...