AI and ML (machine learning) have been in development for decades, but even with today’s rapid advancements, the technology continues to be fragmented, bespoke, and poorly understood. At Juniper Networks,
Intelligent load balancing of AI/ML workloads AI/ML workloads in data centers generate distinct traffic called “Elephant flows.” These large amounts of remote direct memory access (RDMA) traffic are typically produced
University of Wyoming Advances Artificial Intelligence Research and Innovation with Juniper Networks
In the ever-evolving landscape of higher education artificial intelligence (AI), the University of Wyoming is working at the forefront of AI innovation. Using cutting-edge technology, the university is setting up
The StateRAMP organization has announced that Juniper Mist™ has earned the StateRAMP Authorized certification, demonstrating the highest level of compliance with all required security controls for moderate impact. Now state
It may be no surprise that as a CIO, the most discussed topic among my peers is artificial intelligence. But the banter isn’t only about the possibilities and where to
This is the first in a series of technical blogs that will outline the key role that networking plays in AI/ML workloads – specifically, training and inference workloads. In this
We all know to avoid rush hour whenever we can, but in an AI training cluster, it’s always rush hour. In our previous blog on AI cluster design with rail
As AI solutions continue to become more powerful and implemented across various industries, concerns about its safety and other risks have become paramount. While AI offers numerous benefits, many policymakers
It’s well-known that 5G wireless WAN (WWAN) is changing the game for distributed enterprise networks – thanks to increased capacity, higher connection speeds and lower latency than legacy solutions. The
An AI cluster is only as good as the network behind it. It’s easy for a networking vendor to say that, but it’s true. At Juniper Networks, we believe that