The recent AI explosion is reshaping storage architectures in data centers, where GPU servers increasingly need to access vast amounts of data on network-attached disaggregated storage servers for more scalability and cost-effectiveness. However, conventional CPU-centric servers encounter critical performance and scalability challenges. First, the software mechanisms required to access remote storage over the network consume considerable CPU resources.