Aviz | Evaluating AI in Networking? What You Need to Know
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AI is rapidly transforming network technology. This talk will show you how to critically evaluate AI for your networks, focusing on two key dimensions: Networks made for AI and AI made for Networks.
We’ll explore what it takes to build future-proof networks for AI, ensuring your infrastructure is ready to harness top-tier innovations through a vendor-agnostic, open ecosystem for GPUs, Switches, DPUs and Front End infrastructure.
Additionally, we’ll discuss strategies for pragmatically integrating AI into your network management. You’ll learn how to start small, achieve clear ROI, and gradually scale AI adoption to solve key challenges while maintaining control over your data, LLM training and driving innovation.
What Attendees Will Learn
- How to create Networks for AI: Consider their future-proofness, and how they can offer choices, control, and cost-effectiveness.
- How to introduce AI in your networks: Focus on use cases with clear ROI compared to existing tasks. Emphasize design principles that ensure data privacy, training privacy, and future-proofing, aligned with advancements in community LLMs.
- What solutions are available today, and how have early adopters pioneered Networks for AI and AI for networks? They are now poised to leverage future advancements in AI networking.
Who Should Attend
- Networking executives who are decision makers for upgrading or making new networks for AI
- Networking executive who are exploring opportunities with introducing AI in their networks
- Operators who are looking for leveraging AI to enhance their job to next level