VeloRAIN Meta AI
You’ve likely seen some headlines by now about our recently announced VeloRAIN (VeloCloud Robust AI Networking) architecture. Let’s delve into why it’s important.
Impact of Meta Glasses on Network
During the recent VMware Explore event where VeloRAIN was announced, Sanjay Uppal, VP and GM of the VeloCloud division of Broadcom, demonstrated the importance of networking for AI using the example of Ray-Ban Meta glasses worn by a shopper. These glasses have revolutionized the shopping experience, raising concerns about the readiness of store networks to handle the new device and traffic patterns.
Functionality of Meta Glasses
To understand the impact, it's essential to know how these glasses function. The Meta glasses, currently a popular product at Ray-Ban stores, are user-friendly. They primarily communicate with the phone via Bluetooth, switching to Wi-Fi for image and video uploads. The glasses facilitate interaction with the Meta AI service, enabling actions like image description requests.
Advanced Features of Ray-Ban Meta Glasses
These glasses are equipped with the latest smart glasses processor, integrated AI capabilities, high-resolution camera, and ample storage. Despite their advanced technology, they are lightweight and convenient.
Application of Meta AI Service
Besides image and video capture, the Meta glasses support video calls and social media sharing. They simplify interaction with the Meta AI service, enhancing user experience.
Network Implications
Testing the glasses behind a VeloCloud SD-WAN Edge revealed significant upload traffic, emphasizing the need for efficient network management. The glasses utilize uplink bandwidth for quick interactions with the Meta AI service.
Enterprise Considerations
Enterprises, especially retailers, must accommodate the increased network load from such devices for a seamless customer experience. However, security concerns may lead some organizations to restrict traffic from these glasses to prevent data breaches.
VeloRAIN Solution
Introducing VeloRAIN, an architecture designed to optimize AI-driven networks by prioritizing traffic effectively. It equips enterprises with the tools to manage AI workloads and evolving traffic patterns efficiently.
At VeloCloud, we are committed to empowering AI-driven networks with VeloRAIN, ensuring visibility, control, and security for handling the growth of AI applications. Learn more about VeloRAIN in our blog post VeloRAIN: AI Networking is the Next SD-WAN Revolution.
