DataBank CEO Raul Martynek shares insights into the decision to continue investing in the Atlanta market.
Training AI models requires an enormous amount of data center storage and power. As the demand for AI escalates, can data centers keep up? In this “BuiltIn” article, DataBank CEO Raul Martynek uncovers the real AI bottleneck and the attributes of winning data centers.
Nvidia’s investment in “GPU as a Service” companies will have significant long-term implications for the future development of public cloud infrastructure. This exclusive article in “The Information” examines the strategy, including insights from DataBank CEO Raul Martynek.
Is edge computing the solution to fast-draining battery power and latency that mobile users need? DataBank CTO Vlad Friedman shares his perspective in this Spiceworks article he authored.
Businesses should plan for the development of AI regulation in the US, but knowing what it will look like is still a challenge. DataBank CEO Raul Martynek shares his view of the two issues that could be regulated first.
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.
Join longtime New York Times writer and host Craig Smith as he and DataBank’s CEO Raul Martynek explore the evolving landscape of data centers and their pivotal role in powering AI-driven innovations.
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.
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