Datacenter workloads demand flexible memory architectures spanning from rack-level to pod-scale deployments. Embodiments herein disclose systems enabling CXL memory
semantics over physical
layers based on IEEE 802.3 PMA, facilitating memory disaggregation across datacenter fabric infrastructures. The embodiments comprise
processing cores with coherent interconnects, MMUs for address translation, and memory channels supporting substantial memory capacities. Resource Provisioning Units (RPUs) translate between CXL data, optionally encapsulated, transmitted via physical
layers based on IEEE 802.3 PMA, and CXL requests, enabling external entities to access memory across different
physical address spaces. This architecture provides memory
pooling using datacenter network infrastructure, supporting intra-rack
memory sharing, inter-pod memory access, distributed AI training across datacenter resources, and elastic memory provisioning for cloud-native applications, overcoming
physical layer limitations of traditional CXL implementations while maintaining protocol coherency suitable for GenAL, LLM
inference, and HPC workloads.