Data management in high-performance computing (HPC) and AI environments presents unique challenges, especially with heavy file usage and evolving data lifecycles. This edition of the Pure Report podcast delves into these complexities, exploring how data transitions through development, simulation/training, inference/optimization, and long-term retention phases. Together with Pure technologists Bikash Choudhury and Don Poorman, we’ll tackle the critical problem statement: reducing total cost of ownership (TCO) by automatically moving inactive data to different tiers without sacrificing accessibility or performance during crucial operational stages. Join us as we introduce Pure Storage's innovative Zero Move Tiering (ZMT) solution. Discover how ZMT delivers dynamic Service Level Agreements (SLAs) across performance and capacity tiers without data movement, leading to lower TCO and zero operational overhead. We'll also examine how ZMT fits into various data lifecycle stages, from development build workloads to AI-augmented modeling and simulation, and compare Pure's approach to the common deficiencies seen in other vendor solutions.