Juniper Networks released what it claims is the industry's first AI-Native Networking Platform, purpose-built to leverage AI to assure the best end-to-end operator and end-user experiences.
Trained on seven years of insights and data science development, Juniper’s AI-Native Networking Platform was designed from the ground up to assure that every connection is reliable, measurable and secure for every device, user, application and asset.
Unique to the industry, Juniper’s AI-Native Networking Platform unifies all campus, branch and data centre networking solutions with a common AI engine and Marvis Virtual Network Assistant (VNA).
This enables end-to-end AI for IT Operations (AIOps) to be used for deep insight, automated troubleshooting and seamless end-to-end networking assurance, which elevates IT teams’ focus from maintaining basic network connectivity to delivering exceptional and secure end-to-end experiences for students, staff, patients, guests, customers and employees.
The Juniper AI-Native Networking Platform provides the simplest and most assured Day 0/1/2+ operations, resulting in up to 85% lower operational expenditures than traditional solutions, demonstrates the elimination of up to 90% of network trouble tickets, 85% of IT onsite visits and up to 50% reduction in network incident resolution times.
“AI is the biggest technology inflexion point since the internet itself, and its ongoing impact on networking cannot be understated,” said Rami Rahim, Juniper Networks CEO.
He added that Juniper’s AI-Native Networking Platform represents a bold new direction for Juniper and for our industry. “By extending AIOps from the end user to the application, and across every network domain in between, we are taking a big step toward making network outages, trouble tickets and application downtime things of the past,” said
Within the new AI-Native Networking Platform, Juniper is introducing several new products that advance the experience-first mission, from more predictable, reliable and measurable IT operations using AI, to simpler high-performance data centre networks specifically designed for AI training and inference.
Networking for AI
Juniper is expanding its AI data centre solution, which is the fastest and most flexible way to deploy high-performing AI training and inference clusters, and the simplest to operate with limited IT resources.
The Juniper solution consists of a spine-leaf data centre architecture with a foundation of QFX switches and PTX routers operated by Juniper Apstra. With unique intent-based operations, the new Marvis VNA for data centres and validated AI designs, Juniper takes much of the complexity out of AI Data Centre networking design, deployment and troubleshooting, allowing customers to do more with fewer IT resources.
The solution also delivers unsurpassed flexibility to customers, avoiding vendor lock-in with silicon diversity, multivendor switch management and a commitment to open, standards-based Ethernet fabrics.
New products and capabilities to drive even more speed, efficiency and scale:
- Juniper Apstra has been expanded to provide faster and more efficient processing of AI/ML traffic over Ethernet, including congestion management, load balancing and flow control.
- New Express 5 silicon-based PTX routers and line cards with the promise of industry-leading performance and energy-efficient sustainability to enable the necessary massive scale with high-density 800GE capacity.
- A new QFX switch provides 2X the capacity of the previous generation and is the first announced data centre switch from an Original Equipment Manufacturer using the most advanced Broadcom Tomahawk 5 silicon for 800GE.
Both the new PTX and QFX platforms support high 800GE port density and the necessary AI infrastructure protocols, including RDMA over Ethernet (RoCE v2) for power-efficient and scalable AI Data Centre networking.
Sustainability considerations
The AI-Native Networking Platform exceeds sustainability requirements without sacrificing performance and security. Its AIOps enable fast and remote troubleshooting, significantly cutting inter-site travel by 85% in certain instances. It also features power-efficient hardware which minimizes energy consumption and is modularly built to make repairs easier and prolong product life.
“Juniper’s AI-Native Platform provides comprehensive solutions for organisations seeking to transition from reactive to proactive and even predictive network troubleshooting and management, said Bob Laliberte, principal analyst with the Enterprise Strategy Group.
He explained that the combination of proven AIOps and the addition of synthetic testing enables highly available and optimized network environments. He added that Juniper is extending its AI capabilities to the data centre by coupling Marvis VNA with Apstra so it can provide end-to-end context and simplified use leveraging conversational AI interfaces.
“Additionally, Juniper’s AI-native solutions and switches can be applied to power back-end GenAI network infrastructure. Organisations can take advantage of Juniper’s validated solutions to accelerate adoption and time to value of these GenAI environments,” he continued.
