Juniper Networks has unveiled its AI-native Networking Platform. This networking platform is purpose-built to harness the power of AI. Trained on seven years of data science and insights, Juniper’s platform is designed to guarantee reliable, measurable, and secured connections for every device, user, application, and asset.
With this platform’s unique design, operators and end users would have unmatched end-to-end experiences as we use the power of artificial intelligence. Juniper's platform is built to provide dependable, quantifiable, and secure connections for each and every device, user, application, and asset. It is trained on seven years of data science and insights.
Setting a new industry standard, Juniper’s AI-Native Networking Platform integrates campus, branch, and data center networking solutions under a unified AI engine, featuring the Marvis Virtual Network Assistant (VNA). This integration facilitates end-to-end AI for IT Operations (AIOps), providing deep insights, automated troubleshooting, and seamless networking assurance. This advancement would shift the focus of IT teams from basic network maintenance to delivering superior and secure end-user experiences for a diverse range of clients including students, staff, patients, guests, customers, and employees.
Juniper Networks claims that, comparing the platform to standard systems, operating costs may be lowered by up to 85%, demonstrating its remarkable operational efficiency. According to Juniper, it has shown to be able to minimize IT onsite visits by 85%, eliminate up to 90% of network fault complaints, and shorten the time it takes to resolve network incidents by up to 50%.
“AI is a monumental technology shift, and its impact on networking is profound,” said Rami Rahim, CEO of Juniper Networks. “Our AIOps at Juniper have already improved end-user experiences while saving large amounts of money for multinational corporations. We are taking the industry and ourselves in a new path with our AI-Native Networking Platform. One step towards removing network failures and application downtime is to extend AIOps from the user to the application across all network domains.”
Mist AI to Authenticate Network Setups
“One step towards removing network failures and application downtime is to extend AIOps from the user to the application across all network domains,” said Rami Rahim, CEO of Juniper Networks.
To further its goal of putting the user experience first, the new AI-Native Networking Platform unveils a number of cutting-edge products. These include simplifying high-performance data center networks, especially those intended for AI training and inference, and using AI to improve IT operations.Two significant improvements to Marvis, an AI-native VNA powered by Mist AI, are essential to the platform. In addition to self-driving operations and proactive advice, they also contain a chat interface that uses GenAI for certain use cases. One special feature is Marvis Minis, which functions as an AI-Native Digital Experience Twin for networking. It makes use of Mist AI to authenticate network setups, proactively mimic user connections, and identify issues even in the absence of users. Through unsupervised machine learning, it acquires knowledge about network settings, offering further insights for the best AIOps replies.
In addition, Juniper is launching the industry's first AI-Native VNA for data centers, which would provide insights throughout the whole lifetime of a data center across hardware from any vendor. For example, the Marvis Actions UI exposes issues related to cabling, setup, and connection along with recommended preventative measures. Furthermore, IT teams may use GenAI to directly query and acquire insights from the data center product documentation and knowledgebase using the Marvis conversational interface.
With the quickest and most flexible method for deploying high-performing AI training and inference clusters, Juniper's AI Data Center solution is growing. This system comprises of a Juniper Apstra-operated spine-leaf data center architecture with QFX switches and PTX routers. Customers may maximize their IT resources with the solution's unique intent-based operations, streamlined design, implementation, and troubleshooting. Along with avoiding vendor lock-in via silicon diversity, multivendor switch management, and a dedication to open, standards-based Ethernet fabrics, it would also offer outstanding flexibility.
Improved Juniper Apstra for more effective AI/ML traffic processing, new Express 5 silicon-based PTX routers, and a new QFX switch with double the capacity of prior generations that supports high 800GE port density and AI infrastructure protocols are just a few of the new products and features.
Modular Design, Power Efficiency, Sustainability
The AI-Native Networking Platform would go above and beyond sustainability standards without sacrificing security or performance. Fast remote troubleshooting is made possible by its AIOps, which greatly reduces inter-site travel. The hardware has a long lifespan and is easily repaired because to its modular design and power efficiency.
Supporting statements from IT experts emphasize how Juniper's AI-Native Networking Platform has a revolutionary effect. Amel Caldwell from the University of Washington, Steve Mitzel from the Ashland School District in Oregon, and Sajeev Nair from ServiceNow testify to the platform's capacity to shorten troubleshooting times, proactively address problems, and save expenses all while maintaining a reliable network experience. With conversational AI interfaces and verified GenAI environments, Juniper's AI-native solutions would simplify operations and bring AI capabilities to data centers, as noted by Bob Laliberte of Enterprise Strategy Group.
In conclusion, Juniper Networks’ AI-Native Networking Platform is a significant leap in network technology, offering a comprehensive, AI-driven solution that promises to transform network operations, reduce costs, and enhance user experiences across various sectors.
