juniper networks has released what it claims is the industry’s first AI-native networking platform purpose-built to leverage AI to ensure the best end-to-end operator and end-user experience.
Juniper’s AI-native networking platform, trained on seven years of insights and data science development, ensures every connection is reliable, measurable, and secure for every device, user, application, and asset. Designed from the ground up to ensure that
Juniper’s industry-unique AI-native networking platform unifies all campus, branch, and data center networking solutions with a common AI engine. Marvis Virtual Network Assistant (VNA).
This allows end-to-end AI for IT operations (AIOps) is used for deep insights, automated troubleshooting, and seamless end-to-end networking assurance. This increases the focus of IT teams from maintaining basic network connectivity to providing a great and secure end-to-end experience for students, staff, and patients. , guests, customers and employees.
Juniper AI-native networking platform provides the simplest and most reliable Day 0/1/2+ operations, resulting in up to 85% lower operational costs and up to 90% fewer network trouble tickets than traditional solutions , has been proven to eliminate 85%. Reduce IT onsite visits and reduce network incident resolution time by up to 50%.
“AI is the biggest technology inflection point since the Internet, and its continued impact on networking cannot be underestimated.” Rami RahimCEO of Juniper Networks.
He added that Juniper’s AI-native networking platform represents a bold new direction for Juniper and our industry. “By extending AIOps from end users to applications and every network domain in between, we are taking a major step toward making network outages, trouble tickets, and application downtime a thing of the past.” Stated.
Within our new AI-native networking platform, Juniper is delivering solutions that enable IT operations to be more predictable, reliable, and measurable with AI, to simpler, high-performance data center networks designed specifically for AI training and inference. We are introducing several new products that further our experience-first mission. .
Networking for AI
Juniper is expanding its AI data center solutions. It’s the fastest, most flexible way to deploy high-performance AI training and inference clusters, and the easiest to operate with limited IT resources.
Juniper’s solution consists of a spine/leaf data center architecture with a foundation of QFX switches and PTX routers operated by Juniper Apstra. With unique intent-based operations, the new Marvis VNA for datacenters, and a validated AI design, Juniper dramatically reduces the complexity of designing, deploying, and troubleshooting AI datacenter networking, helping customers reduce the complexity of designing, deploying, and troubleshooting AI datacenter networking. Get more work done with your resources.
The solution also avoids vendor lock-in with silicon diversity, multivendor switch management, and a commitment to an open standards-based Ethernet fabric, providing customers with unparalleled flexibility.
New products and features that further improve speed, efficiency and scale:
- Juniper Apstra has been enhanced to handle AI/ML traffic over Ethernet faster and more efficiently, including congestion management, load balancing, and flow control.
- The new Express 5 silicon-based PTX routers and line cards promise industry-leading performance and energy-efficient sustainability, enabling the massive scale you need with high-density 800GE capacity.
- The new QFX switches offer twice the capacity of the previous generation and are the first data center switches from an OEM to use cutting-edge Broadcom Tomahawk 5 silicon for 800GE.
Both the new PTX and QFX platforms support high 800GE port density and the required AI infrastructure protocols. RDMA over Ethernet (RoCE v2) enables power-efficient and scalable AI data center networking.
Sustainability considerations
AI-native networking platforms exceed sustainability requirements without sacrificing performance and security. Its AIOps enables rapid remote troubleshooting, in some cases significantly reducing travel between sites by 85%. It also features power-efficient hardware that is built modularly to minimize energy consumption, ease repair and extend product life.
“Juniper’s AI-native platform provides a comprehensive solution for organizations looking to move from reactive to proactive to predictive network troubleshooting and management.” bob lalibertePrincipal Analyst in the Enterprise Strategy Group.
He explained that the combination of proven AIOps and the addition of synthetic testing enables a highly available and optimized network environment. He added that Juniper is working together to extend AI capabilities into the data center. Marvis VNA Integrating with Apstra provides end-to-end context and leverages conversational AI interfaces to simplify usage.
“Additionally, Juniper’s AI-native solutions and switches can be applied to power back-end GenAI network infrastructure. Organizations can leverage Juniper’s validated solutions to accelerate the deployment and time-to-value of these GenAI environments. ,” he continued.
