Sustainable AI: Reducing Data Center Power With ePMR

Sustainable AI: Reducing Data Center Power With ePMR

How does WD ePMR reduce power consumption?

Executive summary

ePMR helps support Sustainable AI goals by improving the fundamental efficiency of storage infrastructure. By increasing areal density and capacity per drive, organizations can store more data with fewer physical assets, lowering watts per terabyte and improving storage Total Cost of Ownership (TCO). While not a standalone solution for Power Usage Effectiveness (PUE), ePMR helps provide a measurable, predictable efficiency lever that executive teams can incorporate into broader energy and sustainability strategies.

Key takeaways

  • ePMR increases areal density, enabling more capacity per platter and per drive.
  • Greater per-drive capacity typically improves efficiency when measured as W/TB.
  • Improved W/TB lowers the power-related portion of storage TCO at fleet scale.
  • Fewer drives and racks are required for a given storage target, improving space and energy efficiency.

Why sustainable AI demands storage efficiency now

AI workloads generate and retain massive volumes of data across training, inference, logging, compliance, and archival tiers. While compute dominates peak energy draw, storage represents a persistent and predictable energy consumer at scale. As energy costs rise and sustainability reporting matures, CFOs and CTOs are increasingly evaluating storage through metrics such as power per terabyte (W/TB), rack density, and multi‑year TCO rather than raw capacity alone.

    Why areal density matters to power and TCO

    Areal density plays a key role in the cost and efficiency of hard drives: when more data can be packed onto each platter, drives can store more without using significantly more energy, which helps increase storage per rack, improve efficiency, and lower overall long-term costs.

    What is ePMR—in executive terms

    ePMR is Western Digital’s version of Energy-Assisted Magnetic Recording that enhances traditional PMR by improving write precision, enabling improved data density and larger drive sizes, and ultimately delivering predictable, scalable gains in HDD storage within a proven platform. For executives, the important outcome is straightforward: ePMR delivers systematic, predictable increases in HDD storage within a proven platform framework.

    How ePMR reduces power consumption

    The efficiency benefit of ePMR follows a clear and practical chain:

    • Improved areal efficiency enables more storage per drive.
    • More storage per drive reduces the total number of drives required for a given usable target.
    • Fewer drives reduce aggregate drive energy use and, in many architectures, associated enclosure and rack overhead.
    • The net effect is improved efficiency measured as W/TB, which directly impacts storage operating cost at scale.

    Executive decision frame: where this matters most

    ePMR-driven efficiency improvements are most impactful in capacity-centric environments, including AI data lakes, nearline object storage, warm and cold tiers, and retention-heavy workloads. These environments scale primarily by adding storage, making improvements in per-drive efficiency highly translatable into measurable financial outcomes.

    What to measure

    • Baseline and projected W/TB at the storage system level.
    • Usable terabytes per rack and per data hall.
    • Drive and enclosure count required for target storage scenarios.
    • Energy cost contribution of storage within the broader IT load.
    • Refresh cadence alignment and qualification risk for larger drives.

    Questions CFOs and CTOs should ask

    • What is our current storage W/TB by tier, and how does it change with larger drives?
    • How many drives and racks can we optimize for our next storage milestone?
    • How does this impact energy budgeting and space planning over the next refresh cycle?
    • What qualification timelines and reliability targets must be met to avoid operational risk?
    • How will efficiency gains be tracked and reported for finance and sustainability programs?

    Conclusion: ePMR as a sustainable AI enabler

    AI-driven data growth is materially increasing storage footprints, energy consumption, and operating expense across enterprise and hyperscale AI infrastructure environments. Western Digital’s energy-assisted Perpendicular Magnetic Recording (ePMR) supports sustainable AI objectives by improving storage efficiency at scale, lowering energy consumption per terabyte (W/TB) through improved areal efficiency and increased capacity per drive.

    While ePMR does not directly change facility Power Usage Effectiveness (PUE), it enables organizations to meet storage requirements with fewer drives and, in many cases, fewer racks and enclosures. This reduces storage-related IT energy load and contributes to broader efficiency gains. For CFOs and CTOs, ePMR delivers predictable economics and measurable outcomes, including improved W/TB, a reduced infrastructure footprint, and lower storage TCO for nearline and AI-adjacent workloads.