Spirent Communications plc and Aviz Networks announced a collaboration to further strengthen the Networking 3.0 Stack by offering customers more open, hardware vendor-agnostic methods for conducting intelligent traffic monitoring across various 5G network applications such as voice, video, data, mission critical services, IoT, and enterprise and industrial applications. The AI enablement of the Networking 3.0 Stack's components opens up use cases previously unexplored, leveraging open-source large language models (LLMs), and accessible through Aviz Network Copilot, the market leading AI management assistant for large telecom and enterprise networks. Aviz Service Nodes take a different approach to the more traditional bundled and costly proprietary service nodes.

Designed to seamlessly integrate with existing packet broker networks, Aviz Service Nodes are unlike conventional solutions because they operate on readily available, general-purpose hardware. This eliminates dependence on vendor-specific hardware - a major cost driver - and ensures future network upgrades won't be limited by proprietary solutions. By incorporating Spirent Landslide to validate Aviz Service Nodes, Aviz can now provide Telco customers with an innovative, quality-assured, ready-to-deploy solution for greater network efficiency and cost savings.

Aviz Service Nodes are validated by Spirent Landslide, which is renowned as the industry?s most comprehensive test platform for validating and optimizing service provider networks. This powerful combination empowers Telcos to: Gain deeper insights: Aviz Service Nodes provide comprehensive metadata extraction and advanced correlation analysis by leveraging Landslide?s advanced, state machine-driven implementation of 3GPP standards, along with its compatibility with release 17 based 5G nodes and interfaces. The platform?s flexibility to customize call flows, messages, and information elements is instrumental in generating call models that mimic the real world at unprecedented scale to rigorously test performance through LLM-based AI models.

Optimize deployments: In the dynamic landscape of 5G network deployment, which encompasses diverse setups like Standalone (SA), Non-Standalone (NSA), and Private 5G that are tailored to address fundamental elements of 5G design and architecture, the support for real-world Busy Hour Call Attempts (BHCA) models becomes indispensable. With 5G deployments being platform-independent, testing must be platform-agnostic. Spirent Landslide's line-rate scaling capacity, and ability to replicate real-world deployments through its Real-World Call model, ensures maximum efficiency and service quality.