Artificial intelligence (AI) is being deployed in everything from manufacturing to medicine. AI will likely boost demand for cloud and data center services, as companies provision storage and computing power to analyze that data.
Google is shifting to liquid cooling for its latest version of its artificial intelligence hardware, as the heat generated by its new Tensor Processing Units (TPUs) has exceeded the limits of its previous data center cooling solutions.
At its Build conference, Microsoft said Project Brainwave, its deep learning acceleration platform harnessing Intel FPGAs, has been integrated with Azure Machine Learning for the cloud as well as edge computing.
NVIDIA today introduced beefier new GPUs, along with a new interconnect fabric to accelerate workloads, and an initiative to extend machine learning capabilities to smartphones and Internet of Things (IoT) devices.
CBRE Data Centre Solutions is using artificial intelligence technology from LitBit to automate the management of data center facilities. CBRE manages more than 800 data centers around the world.
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.
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.
Avitas Systems’ drone inspection service is bringing AI data-crunching to remote locations with the NVIDIA DGX Station “supercomputer in a box.”
Advances in hardware and software are bringing the computing power of the cloud into devices in our pockets, allowing smartphones and IoT devices to run AI neural networks and other data-intensive processing.