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RAD’s Chief Technology Officer, Ron Insler, explains why Carrier Ethernet is evolving to meet the demands of AI. As AI workloads become more distributed and performance sensitive, deterministic connectivity is becoming essential for AI-ready infrastructure.
How will networking evolve to support the next generation of AI?
In this Executives at the Edge episode, host Pascal Menezes explores these topics and more with Ron Insler of RAD:
- How are AI workloads changing enterprise network requirements?
- Why is Carrier Ethernet well suited for distributed AI and edge inference?
- How are automation and programmable networks changing AI connectivity?
- How does edge computing create new opportunities for service providers?
- What standards are needed to validate AI-ready network performance?
- Learn about Mplify’s Carrier Ethernet for Business certification.
- Read the blog Carrier Ethernet Certification Evolves for an AI-Ready Era.
- Explore Mplify’s research reports.
Ron Insler, CTO, RAD
Ron Insler is Chief Technology Officer at RAD and the Head of its Innovation Labs. In this capacity, he is responsible for researching and evaluating new innovative technologies, developing prototype solutions and performing proof-of-concept testing with design partners, with a particular focus on AI for networking, networking for AI, vCPE, SD-WAN and cloud access solutions.Insler is an active member of Mplify and the Broadband Forum (BBF), for which he has been recognized twice as an outstanding contributor. Currently, he is the co-editor of “Class of Service for Subscriber and Operator Ethernet Services” (Mplify W23.3) and is active in the networking for AI certification program.
Insler holds a B.Sc in mathematics and computer science.
Executives at the Edge podcast is brought to you by Mplify, a global alliance of network, cloud, cybersecurity, and enterprise organizations working together to accelerate the AI-powered digital economy through standardization, automation, certification, and collaboration.
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