Modern AI systems are often limited not only by how much computation they perform, but also by how much data they need to move. AttenIO, developed by Xiaoyang Lu at Illinois Institute of Technology, is an I/O-driven accelerator for exact long-sequence self-attention that achieves up to 3.4× speedup over FlashAttention-2 by applying principled I/O analysis to minimize data movement across the memory hierarchy.