Lou Ternullo, Senior Director of IP Product Management at Rambus, discusses the critical role of PCIe and CXL interconnects in enabling the AI-driven data centers of tomorrow. He explores the challenges of traditional server setups, such as inefficiencies in resource allocation, over-provisioning, and data replication, and presents disaggregation as a solution to improve cost-efficiency and performance. By leveraging PCIe and CXL interconnects, data centers can enable heterogeneous compute, memory sharing, and lower-latency communication across servers and racks. Lou underscores the importance of these interconnect technologies in reducing latency, optimizing resource use, and lowering costs in AI-focused data centers.
Interface IP
Why Memory Matters for AI
The Impact of AI 2.0 on Memory & Interconnect Technology
Unlocking the Potential of CXL 3.1 and PCIe 6.1 for Next-Generation Data Centers
[Live on Feb 28] Increased demand for bandwidth, capacity and compute, coupled with the implications for increased data center costs, are the realities of the AI revolution. This is driving the need for new disaggregated architectures in the data center. Join Lou Ternullo to learn about how PCIe 6.1 and CXL 3.1 interfaces are evolving to address the needs of the next-generation data center.
