Amid the global pandemic, societal habits have increased demand for data usage at an “unprecedented rate.” A new white paper from Siemens looks into the details for dynamically match cooling to IT load in real time. The paper contends that artificial intelligence is playing a key role in cooling today’s data centers.
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Get the new paper from Siemens that explores AI and its impact on data centers, using white space cooling optimization as an example of how AI can be implemented today. Starting with a look at the changing data center landscape, this paper provides a glimpse into what the future holds and examines the critical aspects of thermal cooling, specifically thermal optimization.
Marc Cram, Director of Sales, Server Technology, highlights as artificial intelligence continues to reshape the world of business, businesses will be relying on AI to reshape the way their data centers operate.
The micro-edge will be networked not just with local resources, but with data centers and cloud facilities around the world. Martin Olsen, Vice President, Global Edge and Integrated Solutions at Vertiv, outlines how 5G and edge computing is contributing to IoT and AI advancement.
The future of the data center will rely heavily on artificial intelligence (AI) and machine learning (ML) to improve business processes. Jim Carson, Data Science Manager at Service Express, shares how natural language processing techniques can automate tasks and increase accuracy in your organization.
With more and more processing power being packed into servers supporting artificial intelligence and other processing-intensive applications, rack power requirements are exceeding 20 kilowatts (kW) in a growing number of facilities. Fred Rebarber Senior Technical Director, Thermal Solutions at Vertiv, explores how liquid cooling supports data center AI and digital transformation initiatives
Investors are pouring money into artificial intelligence (AI) startups at an unprecedented rate. Last week, two AI hardware startups received nearly $1 billion in venture capital funds to bring additional chips to market.
The energy footprint taken up by data centers will certainly increase as our reliance increases on artificial intelligence, machine learning, Internet of Things, and 5G. Another factor driving even more data use is that the world’s population will continue to increase, necessitating more devices, connectivity and more. Get the new paper that discusses what power providers are currently offering in key data center markets, what data centers are doing to be as efficient as possible, and how data center customers can support sustainability.
The growing adoption of artificial intelligence (AI) poses challenges for data center design, as high-density racks of GPUs require low-latency access to massive datasets, including some in the cloud.
The wholesale adoption of – and reliance on – electronic payments, the inexorable rise of artificial intelligence (AI), the continuing roll-out and acceptance of the Internet of Things (IoT), and more all means the dataverse is expanding exponentially. Get the new white paper from Echelon Data Centres that explores why now is the right time to expand London data center capacity, in particular, as well as outlines the company’s recent projects in the Docklands.