See what thought leaders, editors, and experts across the industry are saying about DataBank.
The list of large-language models on the market continues to grow. But behind their remarkable capabilities, users are discovering substantial costs, including those driven by demand for data center capacity.
Eric Swartz, VP of engineering for DataBank, speaks about the ways AI solutions are driving advancements in efficiency in data centers.
Rob Powell at Telecom Ramblings sits down with DataBank’s CEO, Raul Martynek to discuss M&A, organic new builds across multiple markets, and how AI is changing the demand curve for data centers.
DataBank CEO Raul Martynek discusses the impact of the ongoing data centre shortage and how this may cause problems for the continuation of AI adoption
Before deploying an application or service, it’s critical to take a close look at the interconnected edge each provider offers.
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.
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.
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