The new NVIDIA A100 Tensor Core GPU, the first elastic, multi-instance GPU that unifies data analytics, deep learning and training, inference and HPC, will support Cisco customers seeking performance and scalability with AI workloads.
NVIDIA and Cisco have built a solution that can help you accelerate your AI and ML workloads
Cisco and NVIDIA provide a GPU-accelerated data center to elevate organizations and deliver unparalleled manageability and world-class support.
Access the new UCS C480 ML DevNet Sandbox via a reservation based system. It is preloaded with all the AI/ML developer tools you need.
Welcome back! There wasn’t much lead time between my last blog and this one, but the Cisco “travel bug” has taken hold and it stops for no one. This time...
At IBC 2018, Cisco will be partnered with the AI Industry leader NVIDIA. AI will thread through just about all of the major trends, from automation, to production to customer experience.
AI and its offshoots, machine learning and deep learning, dominate Silicon Valley wallet- and mindshare. Implications for application development, management, and operations are mind-boggling.
The Cisco Spark Room 55 is a high-performance, all-in-one video system, but what does it have in common with self-driving cars? Both innovations rely on extreme camera technology and machine learning.
GPUs are becoming ubiquitous in the data center. On one hand, if you’re running virtual desktops you know that modern apps and newer operating systems such as Windows 10 make use of a lot more graphic power than their predecessors. Which means that
