Source URL: https://www.theregister.com/2024/11/05/vmware_velocloud_ai_rain/
Source: The Register
Title: Broadcom juices VeloCloud SD-WAN for AI networking
Feedly Summary: VeloRAIN architecture improves service for fat workloads on the edge
VMware Explore Amid all the drama regarding Broadcom’s acquisition of VMware, it’s been easy to forget that the virtualization giant’s SD-WAN outfit, VeloCloud, is now an independent business unit. Broadcom today put it back in the spotlight by revealing it’s developed tech to improve networking for AI workloads on the edge.…
AI Summary and Description: Yes
Summary: The text discusses Broadcom’s newly developed VeloRAIN architecture aimed at enhancing networking capabilities for AI workloads at the edge, particularly focused on identifying encrypted application traffic. This technology is significant for organizations deploying AI applications as it improves quality of service, performance, and flexibility in network management.
Detailed Description: The provided content elaborates on Broadcom’s VeloRAIN architecture, which introduces innovative networking enhancements specifically tailored for AI workloads. This architecture highlights the increasing need for robust networking solutions in edge computing as organizations leverage AI for various applications. Here are the main points:
– **VeloRAIN Architecture:**
– The architecture is designed to improve networking capabilities for AI workloads on edge devices.
– It can identify encrypted application traffic, a significant advancement as it provides visibility where it was previously unattainable.
– **Quality of Service Improvement:**
– By understanding how AI applications interact with the network, organizations can tailor their deployment strategies to ensure more reliable service.
– This is crucial as AI applications are often sensitive to latency and might involve proprietary information.
– **Channel Estimation Intelligence:**
– VeloRAIN is equipped with capabilities to manage traffic over 5G and satellite links, adjusting for fluctuating network conditions.
– This flexibility ensures that edge sites can maintain performance even with varying types of connections.
– **Dynamic Application-Based Slicing:**
– The architecture enables dynamic slicing based on application needs, allowing tailored service delivery and better quality of experience for individual applications.
– Network administrators can set specific policies to optimize network conditions for users and applications.
– **New Appliances:**
– Two hardware appliances have been introduced: the Edge 4100 and Edge 5100.
– **Edge 4100:** Supports up to 30 Gbps throughput and connectivity for up to 12,000 tunnels.
– **Edge 5100:** Offers up to 100 Gbps throughput and connection for up to 20,000 tunnels.
– These appliances replace older models, emphasizing scalability and improved performance for edge networking.
– **Channel Program for Service Providers:**
– VeloCloud is now pursuing its own channel program aimed at managed service providers, signaling its independence from VMware and enhancing market reach.
In conclusion, the VeloRAIN architecture represents a significant step forward in networking technology tailored for AI, enhancing real-time visibility and control over network traffic, which is critical for institutions increasingly deploying AI at the edge. This development conveys important implications for security and compliance professionals, particularly in crafting policies and frameworks around adaptive network management and privacy concerns regarding encrypted application data.