VMware launches VeloRAIN, using AI/ML to improve network performance

That’s where VeloRAIN will come in.

“VeloRAIN is the foundation of our AI networking innovation, empowering our entire portfolio to better address the demands of enterprise AI workloads,” said Sanjay Uppal, vice president and general manager, VeloCloud Division, Broadcom, in a statement. “By harnessing the advanced capabilities of VeloRAIN, AI workloads from distributed inferencing and agentic peer-to-peer applications to upstream heavy RAG transactions will see improved application-based QoE [Quality of Experience] and security across all endpoints of the enterprise.”

VeloRAIN capabilities

VeloRAIN’s capabilities will include the detection of AI applications using AI and ML, even if the application traffic is encrypted, to enable quality of service (QoS) and QoE for edge AI applications, the company said. It will offer channel estimation intelligence for wireless connections over cellular or satellite to help enable what Broadcom called “fiber-like QoS in the face of dynamically changing network conditions.”

In addition, new applications will be automatically identified and assigned business priorities to insure that critical applications get the necessary attention without manual intervention.

Dynamic Application-Based Slicing, or DABS, will assure QoE per application across multiple disparate underlying networks, whether they support network layer slicing or not, Uppal said during a media briefing. DABS also includes user profiles, so traffic can be prioritized based on a user’s identity.

“One of the things that we discovered when we were measuring AI applications is that the reason why all this makes sense now, and the importance of getting this done for AI, is because the applications themselves are extremely different,” he said. “And they’re different because the patterns are different. The way that they use the network is different. They’re very bursty. They’re highly latency sensitive.”