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AI networking: Juniper Networks seizes the opportunity to broaden the conversation around AIOps A decision by Juniper Networks Inc. to build its product offerings around artificial intelligence-native networking has positioned it to have a say in the future of AI infrastructure.The company’s expansion of AI across its Wi-Fi, switching and data center portfolio of offerings has allowed it to focus on customer deployments that are redefining networking operations in the AI era
What to expect during the ‘Seize the AI Moment’ event: Join theCUBE July 23 Enterprise artificial intelligence is quickly transforming from a fresh concept to an integral part of modern business operations. As that happens, companies such as Juniper Networks Inc. have sought to capitalize, looking to its ecosystem to respond to the challenge of modern AI infrastructure.In this context, ethernet remains the standard for networking, and large organizations have sought to standardize it to drive efficiency. Juniper’s data center networking solutions are well-suited to provide ethernet-based network infrastructure to power back-end generative AI clusters, according to Bob Laliberte, principal analyst at theCUBE Research
Seizing the AI moment: Juniper Networks’ vision for the future of enterprise infrastructure The future of artificial intelligence infrastructure is here, and modern business operations are seeking to capitalize, including with enterprise AI tools. It’s a fast-moving evolution that is expected only to grow in the years to come: By 2026, Gartner Inc. has forecasted that more than 80% of enterprises will have used generative AI APIs or deployed generative AI-enabled applications, which is up significantly from less than 5% in 2023.Given the trend involving enterprise AI tools, Juniper Networks Inc. is looking toward the future
Transforming data centers with AI-native networking: Keynote insights from the ‘Seize the AI Moment’ event AI-native networking is revolutionizing the way data centers operate, driving significant advancements across a variety of sectors. The surge in artificial intelligence models and the extensive data required for training are pushing the boundaries of existing computing infrastructures.This technological evolution brings about critical challenges, including the need to manage immense energy demands and optimize infrastructure for efficiency. As organizations navigate these complexities, they seek reliable partners to harness AI’s transformative potential. Juniper Networks Inc
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Juniper Networks unveils Ops4AI Lab and designs to help customers fast-track AI deployments

There has been plenty of hype and ballyhoo around artificial intelligence and networking, but much of the vendor focus has been AI for networking, where AI is used to improve network operations.The other side of the AI coin is networking for AI, where a network must be designed and provisioned to support an AI implementation. Though many businesses will likely deploy AI in the cloud, making the supporting network the problem of the hyperscaler, 58% of respondents to a recent ZK Research/theCube Research study stated they have deployed or will be deploying AI in their own private data center. They must deploy a network to create the AI cluster to do this