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Juniper Networks Expands AI-Native Routing Portfolio

Juniper Networks announced a new round of innovations for its routing portfolio that expedite deployment and enhance routing troubleshooting at scale. 

By leveraging Mist AI, Juniper’s platform for AI-native operations, Juniper’s WAN routing solution has been enhanced with even more automation and insight for end-to-end routing observability and control. The new Juniper Networks® ACX7020 Access Edge Router, also launched today, extends these automation capabilities all the way to the metro and customer premises. With Juniper’s enhanced AI-Native Routing portfolio, enterprises, cloud and service providers alike can unleash the potential of their WAN investments to deliver unparalleled performance and reliability and minimize carbon footprint, meeting the demands of the AI era.

The Juniper® Paragon portfolio makes automating the WAN intuitively easy, from Day 0 to Day 2+. It reduces deployment times while ensuring that both network operations teams and end users have consistently amazing experiences. As a key solution within the Juniper AI-Native Networking Platform, Paragon has been enhanced with the following capabilities:

  • AI-native routing observability: Mist AI now provides comprehensive visibility and control of end-to-end routing using AI Operations (AIOps). This helps to detect complex routing issues and anomalies and proactively recommend actions. By introducing new levels of insight and automation to network operators, Mist AI has been proven to reduce ongoing expenditures by up to 85 percent in some instances.
  • Proactive troubleshooting with LLM Connector: In addition to leveraging Marvis®, Juniper’s leading Virtual Network Assistant (VNA) driven by Mist AI, LLM Connector gives customers the option of leveraging their own LLM (large language model) deployments for advanced conversational interactions. This enables straightforward troubleshooting to accelerate resolution of even the most complex routing issues.
  • Intent-based network optimization: Juniper now supports fully intent-driven traffic engineering policies that streamline and simplify routing optimization to meet the performance requirements of the applications that use the network. This builds on the established knowledge inherent to Juniper WAN solutions, created via decades of sophisticated deployments that involve many terabytes of traffic and thousands of optimizations each month.

Juniper's comprehensive portfolio of best-of-breed routers offer unparalleled capacity, agility and operational consistency with the end-to-end automation required for service-aware networks that power today’s hyperconnected world. The Juniper AI-Native Routing solution has been augmented with the following new capabilities:

  • Reduced energy bills and consumption with a new energy-efficient automation use case: Juniper leverages port, port group and line card sleep features within its routing platforms to scan, identify and switch off any quantity of modules that are not required to support current traffic demand.
  • Extended WAN coverage into customer premises with the ACX7020 Access Edge Router: The ACX7020 is an I-Temp-rated access router deployable in both indoor and outdoor environments and features a compact form factor for installation in space-constrained locations. With this router, network operators can deliver exceptional performance by connecting endpoints directly to the WAN, with plug-and-play support for AI-Native Routing.

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Juniper Networks Expands AI-Native Routing Portfolio

Juniper Networks announced a new round of innovations for its routing portfolio that expedite deployment and enhance routing troubleshooting at scale. 

By leveraging Mist AI, Juniper’s platform for AI-native operations, Juniper’s WAN routing solution has been enhanced with even more automation and insight for end-to-end routing observability and control. The new Juniper Networks® ACX7020 Access Edge Router, also launched today, extends these automation capabilities all the way to the metro and customer premises. With Juniper’s enhanced AI-Native Routing portfolio, enterprises, cloud and service providers alike can unleash the potential of their WAN investments to deliver unparalleled performance and reliability and minimize carbon footprint, meeting the demands of the AI era.

The Juniper® Paragon portfolio makes automating the WAN intuitively easy, from Day 0 to Day 2+. It reduces deployment times while ensuring that both network operations teams and end users have consistently amazing experiences. As a key solution within the Juniper AI-Native Networking Platform, Paragon has been enhanced with the following capabilities:

  • AI-native routing observability: Mist AI now provides comprehensive visibility and control of end-to-end routing using AI Operations (AIOps). This helps to detect complex routing issues and anomalies and proactively recommend actions. By introducing new levels of insight and automation to network operators, Mist AI has been proven to reduce ongoing expenditures by up to 85 percent in some instances.
  • Proactive troubleshooting with LLM Connector: In addition to leveraging Marvis®, Juniper’s leading Virtual Network Assistant (VNA) driven by Mist AI, LLM Connector gives customers the option of leveraging their own LLM (large language model) deployments for advanced conversational interactions. This enables straightforward troubleshooting to accelerate resolution of even the most complex routing issues.
  • Intent-based network optimization: Juniper now supports fully intent-driven traffic engineering policies that streamline and simplify routing optimization to meet the performance requirements of the applications that use the network. This builds on the established knowledge inherent to Juniper WAN solutions, created via decades of sophisticated deployments that involve many terabytes of traffic and thousands of optimizations each month.

Juniper's comprehensive portfolio of best-of-breed routers offer unparalleled capacity, agility and operational consistency with the end-to-end automation required for service-aware networks that power today’s hyperconnected world. The Juniper AI-Native Routing solution has been augmented with the following new capabilities:

  • Reduced energy bills and consumption with a new energy-efficient automation use case: Juniper leverages port, port group and line card sleep features within its routing platforms to scan, identify and switch off any quantity of modules that are not required to support current traffic demand.
  • Extended WAN coverage into customer premises with the ACX7020 Access Edge Router: The ACX7020 is an I-Temp-rated access router deployable in both indoor and outdoor environments and features a compact form factor for installation in space-constrained locations. With this router, network operators can deliver exceptional performance by connecting endpoints directly to the WAN, with plug-and-play support for AI-Native Routing.

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A reliable online shopping experience is becoming increasingly important to consumers, especially at checkout ... 26% of respondents said they would abandon an online purchase if they encountered a bug at any point during the experience ...

Organizations continue to shift away from a single cloud approach toward more flexible hybrid cloud environments, according to the 2025 State of Cloud Report, conducted by Rackspace Technology ...

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This year, several data leaders began thinking about Large Language Model Operations (LLMOps) at a pivotal moment: when promising AI experimentation was ready to be transformed into business value. That's when the factory floor stopped. Quizzical practitioners and befuddled leaders debated questions they had foreseen but not answered — questions that could be summed up as: How are we going to operationalize AI? ...

Cloud migration is a highly strategic decision that involves leadership sponsorship, business justifications for moving to the cloud, and a clear understanding of expected value. Lack of this alignment can be the reigning cause of cost and budget overruns and why almost half of the migration efforts underway today will fail in the next three years ...

One of the most misunderstood culprits of poor application performance is packet loss. Even minimal packet loss can cripple the throughput of a high-speed connection, making enterprise applications sluggish and frustrating for remote employee ... So, what's going wrong? And why does adding more bandwidth fail to fix the issue? ...

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