The ISC16 conference showcased the next generation of hardware to power HPC workloads, including Intel’s Xeon Phi processor, a powerful new GPU accelerator from NVIDIA, and Fujitsu’s embrace of low-power ARM processors for a major supercomputer.
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.
Cisco sees an opportunity in the crowded market for data center management tools, and has introduced Tetration, a solution that combines hardware, software, analytics and machine learning to provide better visibility into the data center.
What will the data center look like in 5 years or 10 years? Here’s a closer look at the Internet of Things, virtual reality and machine learning, and what these new technologies may mean for the data centers that power your business and livelihood.
Machine learning and artificial intelligence have arrived in the data center. This trend is changing the face of the hyperscale server farm, as racks begin to fill with ASICs, GPUs, FPGAs and supercomputers.
Intel has begun a pilot program for new chips that combine traditional Intel CPUs with field programmable gate arrays (FPGAs), semiconductors that can be reprogrammed to perform specialized computing tasks for cloud computing and the Internet of Things (IoT).
Facebook is building a new generation Open Compute hardware, part of its vision for powerful data centers that will use artificial intelligence and virtual reality to deliver experiences over the Internet. Here’s how they’re doing it.