Manoj Wadekar (Meta) is a leading figure in Meta's Networking division, focusing on advanced networking solutions & AI integration. His contributions in system architecture and network/memory/storage products have driven significant innovations in Meta's infrastructure, enhancing the performance and scalability of their General Compute and AI infrastructure. Manoj's forward-thinking approach and deep understanding of AI's impact on technology make him a key contributor to the technical community. Manoj is a Board Member of JEDEC. He is leading the ESUN (Ethernet for Scale Up Network) and CMS (Composable Memory Systems) projects in OCP. He is also co-chair of the Board Technical Task Force for UAL Consortium.
In current AI-centric architectures, memory is one of the core bottlenecks. While memory vendors work hard to increase density to scale up, memory expansion remains one of the best alternatives to scale out.
While protocols like CXL matured for CPU-centric architectures, the advent of AI factories and the subsequent move to accelerator-centric architectures have opened the door for more alternatives over different interconnects. Examples include NVLink, Infinity Fabric, UALink, and ESUN. Through different trade-offs, all of them are able to support memory semantics, thus enabling different paths to memory expansion.
In this panel, we bring together industry leaders with expertise on each of the fabrics above. They will discuss the pros and cons of each technology, the use cases they target, and the maturity of each approach. The audience will have a unique opportunity to interact and learn from the people building the future of memory expansion.