Juniper Network launched the industry's first AI native network platform, creating excellent user experience and significantly reducing operating costs

Recently, Juniper Network released the industry's first AI native network platform to ensure the best end-to-end operator and end-user experience with AI. The native network platform of Juniper Network AI was designed from scratch and trained based on seven years of insight and data science development to ensure that every connection of every device, user, application and asset is reliable, measurable and secure.

Juniper Network AI native network platform is the first in the industry, which unifies network solutions of all parks, branches and data centers through a common AI engine and Marvis Virtual Network Assistant (VNA). Therefore, in-depth insight, automatic troubleshooting and seamless end-to-end network guarantee can be obtained through end-to-end intelligent operation and maintenance, so that the IT team will no longer focus on maintaining basic network connectivity, but will focus on providing excellent and safe end-to-end experience for students, employees, patients, visitors and customers. The native network platform of Juniper Network AI provides the simplest and most guaranteed Day 0/1/2+operation. Compared with the traditional solutions, the operating expenses are reduced by up to 85%, the network fault work orders are reduced by up to 90%, the number of IT personnel leaving the site is reduced by 85%, and the network troubleshooting time is reduced by up to 50%.

Rami Rahim, CEO of Juniper Network, said: "AI is the biggest technological inflection point since the birth of the Internet, and its continuous impact on the network cannot be underestimated. At Juniper Network, we witnessed how our intelligent operation and maintenance, which changes the rules of the game, can save a lot of time and money for thousands of global enterprises, while bringing excellent experience to end users. Our AI native network platform is a bold new direction for Juniper Network and our industry. By extending intelligent operation and maintenance from end users to applications, and running through every network field between them, we are rapidly achieving our goal of making network outages, faulty work orders and application downtime a history. "

In the new AI native network platform, Juniper Network has also launched several new products that practice the mission of "experience first", from more predictable, more reliable and more measurable IT operations using AI to simpler high-performance data center networks designed for AI training and reasoning.

Network oriented AI: Marvis virtual network assistant helps you go deeper and wider

Marvis is the only person in the industry drive The AI native virtual network assistant of, which features active advice, autonomous operation and session interface (for some applications, use generative AI). The newly released AI native network platform gives Marvis the following two new capabilities to help Juniper network customers and partners gain more automation and insight:

·Marvis Minis: the only AI native network digital experience twin, uses Mist AI to actively simulate user connections to instantly verify network configuration, and find/identify problems when users are not present. Minis simulates the traffic of end users/clients/devices/applications through automated machine learning to learn network configuration and actively highlight network problems. Data from Minis is continuously input back into the Mist AI engine, providing additional insight sources for the best intelligent O&M response.

There is no need to configure manually because Minis is always on and can be automatically deployed when the network usage is low (such as midnight on weekends) or by triggering events (such as after network configuration changes). Moreover, unlike traditional digital twin solutions and synthetic testing, Marvis Minis is directly integrated with the network, without manual monitoring and analysis through external sensors, clients and applications.

·Marvis Virtual Network Assistant (VNA) for the data center: Juniper Network is launching the industry's first and only AI native virtual network assistant for the data center, covering all vendors' hardware, and continuously providing the best insight throughout the life cycle of the data center. For example, no matter which vendor's hardware, as long as there are cabling, configuration and connection problems in the data center, it will be in Juniper Network ® The Marvis Actions user interface of Apstra ® is displayed, and operation suggestions are also displayed. In addition, the Marvis session interface allows the IT team to conduct direct queries and seamlessly gain insight into data center product documents and knowledge base through generative AI.

Operation of data center and Marvis's Software The operations of defining WAN are displayed in the same user interface. In addition, the generative knowledge base query of all products of Juniper Network is conducted in the same Marvis session interface. For the first time, Juniper network customers can obtain end-to-end visibility and protection in all areas of the enterprise through a single virtual network assistant.

AI oriented network: scalable high-performance network for AI training and reasoning

Juniper Network is expanding its AI data center solution, which is the fastest and most flexible way to deploy high-performance AI training and reasoning clusters, and is also the easiest way to use for users with limited IT resources. The solution is based on the ridge leaf data center architecture, and its foundation is the QFX switch and PTX router controlled by Juniper Apstra software. Juniper Apstra is the only multi vendor solution for data center architecture management, automation and assurance. With the intention based operation realized through Apstra, the new Marvis data center virtual network assistant and the verified AI design, Juniper Network has significantly reduced the complexity of AI data center network design, deployment and troubleshooting, allowing customers to do more work with less IT resources. Through chip diversification, multi vendor switch management and dedication to standards based open Ethernet architecture, the solution also provides customers with unparalleled flexibility and avoids vendor lock-in.

On the basis of its AI data center architecture advantages, Juniper Network also released the following new products and capabilities to further improve speed, efficiency and scale:

·Juniper Apstra has been expanded to process AI/machine learning traffic over Ethernet faster and more efficiently, including congestion management, load balancing and flow control.

·The new PTX router and line card based on Express 5 chip have industry-leading performance and sustainable energy efficiency potential, and can realize the huge scale of high-density 800 Gigabit Ethernet.

·The new QFX switch, which provides twice the capacity of the previous generation, is the first data center switch produced by the original equipment manufacturer to use the most advanced Broadcom Tomahawk 5 800GE chip.

These new PTX and QFX platforms all support extremely high 800GE port density and necessary AI infrastructure protocols, including RDMA over Ethernet (RoCE v2) for scalable and efficient AI data center networks.

Sustainability considerations

AI native network platform goes beyond the requirements of sustainability without sacrificing performance and security. Its intelligent operation and maintenance can realize remote and rapid obstacle removal, and in some cases can reduce the travel volume by 85%. In addition, its high-performance hardware also minimizes energy consumption, and adopts a modular design, which is easier to repair and extends the service life of the product.

Sajeev Nair, Senior Director of ServiceNow Design and Construction Engineering, said, "Our IT team used to spend hours troubleshooting network problems. The AI native network platform of Juniper Network has changed everything. With Marvis' AI insight and automation, the wireless problems reported by employees have been reduced by 90%, and the average time to solve problems has also been greatly shortened, so our team can focus on more strategic work. Now, with Marvis Minis, we can actively find and solve problems in advance to avoid their impact on the user experience. Another amazing advantage is that Marvis Minis is fully integrated into our existing Marvis virtual network assistant, and no additional hardware or software is required. It has revolutionized our network operations. "

Amel Caldwell, assistant director of wireless and mobile communications at Washington University, said, "With Juniper Mist, we can quickly diagnose network problems. Now, with the help of Marvis Minis, we can actively identify wireless performance problems and prevent them from affecting the user experience of our employees and students."

Steve Mitzel, Executive Director of Operations, Ashland School District, Oregon: "We manage many schools in Ashland School District through Juniper Mist. We are very happy to deploy Marvis Minis without installing additional sensors. This saves us time and money, but also provides a reliable network experience and improves academic achievements."

Bob Laliberte, chief analyst of Enterprise Strategy Group, said: "For organizations that want to transform from reactive network troubleshooting and management to active and even predictive network troubleshooting and management, Juniper Network's AI native platform provides a comprehensive solution. The combination of proven intelligent operation and maintenance and synthetic testing creates an optimized high availability network environment. Juniper Network is extending its AI capability to the data center, combining Marvis virtual network assistant with Apstra, and using AI session interface to provide end-to-end context to simplify users' use. In addition, Juniper's AI native solutions and switches can support back-end generative AI network infrastructure. Organizations can use the Validated Solutions of Juniper Network to accelerate the deployment of these generated AI environments and create value faster. "

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