➀ Discusses the limitations of using RDMA in ScaleUP networks, highlighting issues with latency, CPU overload, and chip area constraints. ➁ Explores alternative protocols suitable for ScaleUP, emphasizing the benefits of Ethernet and direct memory access. ➂ Analyzes the challenges and solutions in implementing efficient interconnects for AI accelerators, focusing on network convergence and memory semantics.