Abstract
The Performance-Based Total Cost of Ownership (TCO) white paper introduces a time-aware approach TCO model, transforming workload economics by dramatically reducing CPU utilization, shortening execution times, and cutting energy consumption. Purpose-built for data compression and decompression, the device under test also enables advanced workloads—such as Retrieval-Augmented Generation (RAG)—to run AI inference at scale with lower latency and higher throughput. Case studies on compression vs. accelerator effectiveness are discussed. The studies conducted illustrate how by accelerating both document retrieval and the compression/decompression of underlying databases, a hardware-based accelerator delivers a faster and energy-efficient workhorse for datacentric computing.
Learn more about SNIA SSD Special Interest Group and their Total Cost of Ownership videos and other white papers at https://www.snia.org/forums/cmsi/programs/TCOcalc