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.
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.
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.
The rise of specialized computing is bringing powerful new server hardware into the data center, a trend seen in new tech from Google, NVIDIA, AMD, ARM, Intel and Microsoft.
NVIDIA is looking to accelerate sales of its AI hardware to hyperscale computing providers through tighter partnerships with original design manufacturers (ODMs), who have become key players in the cloud hardware ecosystem.
The data center’s role in the economy will be transformed by technologies like AI, virtual reality, voice assistants, autonomous vehicles and robots, according to futurist Steve Brown.