Cisco Makes AI Possible: Part 1 - AI Networking
Tuesday, August 4, 2026 | 10:00 AM Pacific Time
Join us for the first installment of our three-part AI series, where we explore the critical intersection of Artificial Intelligence and high-performance networking.
In this session, we will demystify the fundamentals of AI and examine the essential networking requirements needed to support modern, scalable AI environments. You will gain an exclusive look at Cisco’s comprehensive AI portfolio—spanning from silicon and platforms to systems and software—and discover the specific features that make our solutions the backbone of high-demand AI workloads.
Cisco Makes AI Possible: Part 2 - AI Compute and Storage
Tuesday, August 11, 2026 | 10:00 AM Pacific Time
Following our introduction to AI networking, we invite you to join us for the second installment of our three-part series. In this session, we shift our focus to the engine room of AI: compute and storage.
We will explore the architectural requirements necessary to power AI workloads at scale, providing a comprehensive look at Cisco’s latest compute offerings. Furthermore, we will break down the complex storage demands of modern AI and discuss the solutions designed to meet them. Join us to learn how to build a high-performance foundation that keeps pace with your most demanding AI initiatives.
Cisco Makes AI Possible: Part 3 - Full Stack AI Solutions
Tuesday, August 18 | 10:00 AM Pacific Time
We’ve explored the networking, compute, and storage foundations of AI—now it’s time to see how it all comes together. Join us for the final installment of our three-part series as we demonstrate how to design, build, and operate a truly full-stack, AI-ready data center.
In this session, we will showcase how Cisco’s integrated ecosystem—including AI PODs, Hyperfabric, and the Nexus Dashboard—simplifies complex deployments. You will also get an exclusive look at how our AI-driven assistants optimize workloads and streamline data center operations, ensuring your infrastructure is as agile as the models you are running.
