NVIDIA has unveiled a new generation of its GPU technology designed to further shake up the world of AI computing. Here’s a look at the DGX A100 system, and what it may mean for the data center.
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.
A new wave of commercial satellite imaging companies are collecting upwards of 100 terabytes (TB) or more per day, filling data centers and enabling granular analysis of trends that drive our economy.
A new report from QTS points out that the data center industry may have “lagged behind the curve” when it comes to digital innovation. But that may be changing, as business needs and customer expectations continue to ramp up and change at a rapid pace.
The COVID-19 crisis has underscored the benefits of automation, including remote IT management and AI-driven security. New data from Cisco illustrates how data growth is testing the limits of manual network management.
Gerry Fassig, Vice President, Sales, at CoreSite, explores how best to power AI and machine learning across a variety 0f industries and sectors through data and processing power.
Jeff Klaus, General Manager of Intel Data Center Management Solutions, explores how Intel Memory Failure Prediction (Intel MFP) uses machine learning to improve the performance and reliability of server memory to predict potential failures and prevent downtime.
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.
Are we on the verge of a new frontier in data center automation? Here’s a deep dive into the history of robotics in the data center, some implementations, and how they may help shape the data centers of the future.,
Autonomous cars could generate up to 5 TB of data an hour. Edge Computing World provided a closer look at how self-driving cars and the edge network will work together, and the scenarios that will will require data and storage.
A guest article from CoreSite asserts automation is shifting data centers from reactive to preventative on the way to predictive. Brenda Van der Steen, VP of Marketing at CoreSite, explores how automation acts as not only a precursor to artificial intelligence, but a crucial “step in the journey.”