Cisco is helping data center networks evolve to support AI/ML applications using Ethernet. With an AI/ML networking blueprint and a new strategic partnership with NVIDIA, Cisco is providing data center Ethernet networking solutions for customers to
The key to powering AI is optimized infrastructure – using AI paradigms across your portfolio to improve operational efficiency, network intelligence, and end-to-end digital experiences. With integration and intelligence up and down the stack, Cisco
Cisco, Cloudera, and Nvidia have partnered to deliver hybrid and/or private cloud solution that meets all the above requirements. The architecture has the Cloudera Data Platform (CDP) software running on Cisco Data Intelligence Platform (CDIP) with
VDI users with accelerated, GPU enhanced desktops will have a better experience and be more productive. Adding GPUs to modular, blade servers has never been simpler or quicker. X-Series protects and extends your investment with a modular form factor.
Cisco believes you shouldn’t have to create hardware silos to meet the needs of an application and provide your users the best experience. Now with Cisco UCS X-Fabric Technology and GPU announcements, we are expanding the portfolio to address a much
We describe X-Series as having the density and efficiency of blade servers with the expandability of rack servers. First, we increased the amount of storage – going from two drives on a B-Series to six drives on a X-Series. Now we are adding GPUs to
Cisco is now providing NVIDIA-Certified servers that are compatible with NVIDIA AI Enterprise, a complete software suite for developing and deploying AI workloads.
Cisco, Cloudera, and NVIDIA have partnered to deliver an on-premises big data solution that integrates Cloudera Data Platform (CDP) with NVIDIA GPUs running on the Cisco Data Intelligence Platform (CDIP).
Work/life balance has changed for many workers and their families, as have their workspace habits and preferences. IT organizations and workers have grown accustomed to being productive under mostly remote work circumstances. As companies begin their
