Juniper Accelerates AI Innovation with MLPerf® Training 4.0 Benchmarking

Developing and deploying AI applications requires highly optimized infrastructure, including purpose-built GPU servers, a robust AI/ML software stack, and a lossless, low-latency network fabric. An AI cluster typically has four

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The Road Toward the Quantum Internet

The quantum internet is poised to revolutionize how we communicate, compute, and secure data. By leveraging the principles of quantum mechanics, it will enable unparalleled capabilities that extend beyond the

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An Industry First: Benchmarking an LLM on a Multi-Node AI Inference Ethernet Fabric

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,

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Managing the Elephant in the Room for AI Data Centers

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

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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

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Juniper Mist™ is StateRAMP Authorized for State, Local, and Education (SLE) Agencies

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

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FOMO vs. FOMU: Working Through Real, Valid Fears About Enterprise AI Adoption

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

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AI/ML Data Center Networking on Ethernet

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

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Don’t Let Your AI Get Caught in Traffic

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

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Will New AI Regulations Address Concerns or Create More Issues?

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

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