Juniper achieves FedRAMP status In-Process: Finalization

Federal agencies will soon have new reasons to select Juniper’s AI-Native networking solution,  Juniper Mist, with its transformative AIOps capabilities. FedRAMP has posted an update to our Juniper Networks™ Mist

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Avoiding AI/ML traffic congestion with global load balancing

Load balancing techniques are crucial in AI/ML 400G/800G data center fabrics for optimal resource utilization and avoiding different forms of congestion. The characteristics of AI workloads in the training domain

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Juniper delivers double the lifespan of competitors, without the high costs and disruption

How often would you like to perform disruptive forklift upgrades of your deployed edge routers? Every two years? Every three? If you answered, “That’s crazy, how about never,” then you

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The 2024 results are in: 5G transport networks – the focus of the EANTC 2024 Multi-Vendor MPLS SDN Interoperability Test

Managers of large-scale multi-protocol networks are in a difficult spot. When it comes to upgrading their networks, they’re constantly being pulled in opposing directions. Legacy networks are cumbersome, and very

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NIST Finalizes Post-Quantum Encryption Standards

An important first milestone has been achieved, but challenges remain. The recent announcement by the National Institute of Standards and Technology (NIST) of its first three post-quantum cryptography (PQC) algorithms

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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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