The rise of AI has brought more hardware to accelerate specific tasks, Our DCF Executive Roundtable discuss whether powerful new AI hardware will bring changes in data center design and operations.
The market for artificial intelligence hardware is entering a new phase, as a cluster of startups prepare to bring specialized AI chips to market.
As we approach 2030, data centers will feature ” lots more application-specific silicon being cooled by water,” according to Suvojit Ghosh, the plenary speaker at DCD Enterprise New York.
At Data Center Frontier, we see eight themes that will shape the data center business in 2019. Scale gets even more hyper, staffing challenges emerge, and market niches proliferate.
Last January we identified eight themes that we believed would shape the data center business in 2018. Let’s take a look and see how we did, ranking whether each prediction was a Hit, Miss or Too Early.
There are many use cases for converged infrastructure (CI) and hyper-converged infrastructure (HCI), but they can be frustrating to implement. Bill Kleyman offers tips for a successful deployment of CI and HCI 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.
To meet demand for its pre-loaded server racks, Supermicro has opened a new integration facility in San Jose that uses robotics to move racks of servers.
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.
Startup Ampere came out of stealth today, and is making memory-intensive ARM servers for the fast-growing market for cloud services and hyperscale computing.