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.
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.
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.”
The robot-driven data center is closer to reality with the introduction of a robotic system to swap servers from a tank of cooling liquid. Is this another step towards more “lights out” data centers? Rich Miller, explores the past, present and future of robots in the data center.
Today’s farm is powered by data, along with a variety of devices and technologies, including sensors, GPS satellites, drones, and robots. Here’s a look at precision farming, and the role of AI and data.
Our panel of data center executives from Intel Software, Digital Realty, Cyxtera and Iron Mountain share their takes on the future of data center automation.
Restaurants are experimenting with AI and robotics to automate aspects of their operations, from ordering to preparing and serving your food.
Cerebras Systems has emerged from stealth mode with a wafer-sized chip that completely rethinks the form factor for data center computing. The challenge: Each chip uses 15 kilowatts of power.
Startups are investing heavily in new applications for artificial intelligence in medical imaging, in the hope that algorithms can bring new capabilities to diagnoses and patient care.