MaxLinear has introduced its MaxAI, a hardware-optimized machine learning (ML) framework aimed at improving quality of service (QoS) for multiple system operators (MSOs). The new technology integrates directly into MaxLinear’s AnyWAN™ platform, offering real-time application-aware traffic management. Designed to enhance the user experience for demanding applications such as video conferencing and multiplayer gaming, MaxAI also reduces support costs by enabling intelligent diagnostics and on-demand log collection.
With the increased dependency on Wi-Fi, especially due to remote work, service providers face challenges in delivering consistent user satisfaction. The MaxAI framework addresses this by being use-case aware, ensuring that each device’s throughput, latency, and concurrency requirements are managed independently. This results in a more seamless network experience, especially in environments with varied Wi-Fi usage needs.
MaxAI is built for flexibility and scalability, allowing operators to customize their deployments using either pre-trained models or more advanced compute-intensive solutions. MaxLinear will be demonstrating this technology at Network X 2024 in Paris, where its AnyWAN-based Wi-Fi 7 platform will show the AI framework in action, showcasing the potential for improving overall network performance.
- MaxAI enhances QoS for MSOs by improving traffic management and diagnostics.
- Designed for demanding applications like XR, video conferencing, and gaming.
- Provides on-demand log collection to reduce support costs and improve user experience.
- Demonstrated on MaxLinear’s AnyWAN Wi-Fi 7 platform at Network X 2024.
“At MaxLinear, we’re creating value by integrating AI directly into our products, providing service providers with a clear advantage in today’s competitive market,” said Will Torgerson, VP/GM Broadband Group at MaxLinear.
