Broadcom has introduced VeloRAIN, an AI-powered platform integrated into its VMware VeloCloud software-defined wide-area network (SD-WAN) system. VeloRAIN aims to enhance performance and security for AI-driven workloads by employing advanced artificial intelligence and machine learning techniques to manage and prioritize encrypted application traffic. This approach ensures the quality and service-level requirements crucial for edge AI applications are met. One notable feature of VeloRAIN is Dynamic Application-Based Slicing, a policy framework that enables prioritization of traffic based on specific application demands, providing an optimized user experience.
Sanjay Uppal, Broadcom’s Vice President of Software-Defined Edge, highlighted that VeloRAIN leverages insights from over 500,000 deployed VMware edge units. These units act as network sensors, collecting valuable data on application-specific traffic behavior. This intelligence is critical for optimizing network performance, particularly for generative AI and retrieval-augmented generation workloads, which demand significant bandwidth and often produce large traffic asymmetry due to substantial upstream flow of video and audio data. By using this data, VeloRAIN effectively manages resources, ensuring high-performance networking solutions tailored to specific AI applications.
Another essential feature of VeloRAIN is its sophisticated channel estimation intelligence, continuously monitoring and adapting to changes in wireless connections across 4G, 5G, and satellite networks. This capability is particularly beneficial for enterprise-focused fixed-wireless access services, ensuring consistent and reliable connectivity even in challenging environments. By dynamically adjusting to fluctuating network conditions, VeloRAIN maintains optimal performance across various wireless technologies, offering enterprises a robust and dependable solution for their advanced networking needs.
In summary, Broadcom’s VeloRAIN represents a significant advancement in optimizing edge networking for AI applications. It addresses the growing demand for efficient bandwidth management and secure, reliable connections, especially in environments with heavy data needs. Through the integration of advanced AI and machine learning techniques, VeloRAIN offers a sophisticated solution to the complex challenges faced by enterprises deploying advanced AI workloads at the network edge. This innovative platform promises to transform how businesses manage and optimize their AI-driven network operations, paving the way for more efficient and reliable edge computing solutions in the future.