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In order to future-proof their facilities, multi-tenant data center operators must rethink facility design, construction and operations to allow for more flexibility and sustainability.
AI-native applications require higher computational requirements and data centers tailored for data-intensive AI applications are swiftly emerging to meet the demand.
Data center provider rolls out an agile framework for HPC-ready facilities
Episode 22 Topic: How to Mitigate Exploits and Vulnerabilities
The realization of true 5G speeds relies on mobile edge computing, and the four essential elements that enable it: incorporating multiple frequency bands, re-architecting network cores, virtualizing radio access networks, and creating open networks for software integration.
Companies’ insatiable appetite for artificial intelligence is driving a fast-emerging market for data centers purpose built to handle compute-intensive AI applications.
In the latest issue of the DCD Magazine we examine the rise and rebirth of carrier hotels as legacy interconnection hubs find new meaning in the age of cloud & Edge. Links to full PDF. Originally appeared in Issue #49 of Data Center Dynamics (https://www.datacenterdynamics.com/en/magazines/issue-49-the-rise-and-rebirth-of-carrier-hotels/)
Generative AI can write software code and networking scripts, provide troubleshooting and issue resolution, automate processes, provide training and onboarding, create documentation and knowledge management systems – but will data center infrastructures be able to handle the growing workload? Read what DataBank CEO Raul Martynek has to say.
Large language models already are transforming industries such as financial services, healthcare, education, and government. But what’s hype and what’s yet to come? DataBank CEO Raul Martynek shares his perspective.
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