The evolution of high-performance computing(HPC) interconnects has produced specialized fabrics such asInfiniBand, Intel Omni-Path, and NVIDIA NVLink,each optimized for distinct workloads. However, the increas-ing convergence of HPC, AI/ML, quantum, and neuromorphiccomputing requires a unified communication substrate capableof supporting diverse requirements including ultra-low latency,high bandwidth, collective operations, and adaptive routing. Wepresent HyperFabric Interconnect (HFI), a novel design thatcombines the strengths of existing interconnects while addressingtheir scalability and workload-fragmentation limitations. Ourevaluation on simulated clusters demonstrates HFI’s ability toreduce job completion time (JCT) by up to 30%, improve taillatency consistency by 45% under mixed loads and 4× betterjitter control in latency-sensitive applications., and sustain effi-cient scaling across heterogeneous workloads. Beyond simulation,we provide an analytical model and deployment roadmap thathighlight HFI’s role as a converged interconnect for the exascaleand post-exascale era.