<p>➀ Panmnesia proposes a CXL-over-Xlink datacenter architecture combining GPU-optimized interconnects with CXL memory sharing, achieving 5.3x faster AI training and 6x lower inference latency versus PCIe/RDMA systems;</p><p>➁ Key enhancements include independent compute/memory scaling, dynamic resource pooling, hierarchical memory integration (HBM+CXL), and cascading CXL 3.1 switches for scalable low-latency fabrics;</p><p>➂ The architecture reduces communication overhead through accelerator-optimized links (sub-100ns latency) and enables petabyte-scale memory access for AI workloads, addressing bottlenecks in traditional GPU clusters.</p>
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