In this Voices of the Industry column, Patrick Quirk, Vice President and General Manager of Management Systems at Vertiv, explores the connection between upskilled employees and the autonomous data center. By combining data, connectivity and machine learning, data centers can bridge the skills gap, prepare for changing environments and loads, and eventually implement predictive capabilities.
Insights: Machine Learning and Artificial Intelligence
Machine learning and artificial intelligence have arrived in the data center, changing the face of the hyperscale server farm as racks begin to fill with ASICs, GPUs, FPGAs and supercomputers. The race to leverage machine learning is led by the industry’s marquee names, including Google, Facebook and IBM. As usual, the battlefield runs through the data center, with implications for the major cloud platforms and chipmakers like Intel and NVIDIA.
In 2017, Microsoft also focused on hyperscale hardware, continuing its innovation with FPGAs and GPUs to speed its networking and machine learning services, while test-driving ARM cloud servers.
During 2017, Facebook began building bigger data center campuses, applying more compute horsepower to AI, and using servers to warm homes.
The rapid growth of AI is contributing to the building of new services, as well as enhancing products already on the market. And this trend has direct design implications for data centers. Find out how the expanding AI industry could change the face of colocation.
ROOT Data Center announced today that it is teaming with LitBit to use artificial intelligence (AI) to monitor its backup generators, marking the first use of AI to reduce the risk of data center outages.
In his SC17 presentation, NVIDIA CEO Jensen Huang said the company’s Volta architecture for GPUs is now available on every major cloud service to deliver AI and HPC.
Avitas Systems’ drone inspection service is bringing AI data-crunching to remote locations with the NVIDIA DGX Station “supercomputer in a box.”
This week Microsoft unveiled Project Brainwave, a deep learning acceleration platform the latest fruits of its collaboration with Intel on FPGA-based computing.
Artificial intelligence experts showed off impressive new applications of AI at the O”Reilly Artificial Intelligence Conference, but also wrestled with the tensions about hype, language and the societal impact of this technology.
Will artificial intelligence and robotics manage the data centers of the future? At DCD Webscale, LitBit and Wave2Wave discussed new AI products to streamline data center management and address the industry’s staffing challenges.