Tech Field Day

The Independent IT Influencer Event

  • Home
    • The Futurum Group
    • FAQ
    • Staff
  • Sponsors
    • Sponsor List
      • 2025 Sponsors
      • 2024 Sponsors
      • 2023 Sponsors
      • 2022 Sponsors
    • Sponsor Tech Field Day
    • Best of Tech Field Day
    • Results and Metrics
    • Preparing Your Presentation
      • Complete Presentation Guide
      • A Classic Tech Field Day Agenda
      • Field Day Room Setup
      • Presenting to Engineers
  • Delegates
    • Delegate List
      • 2025 Delegates
      • 2024 Delegates
      • 2023 Delegates
      • 2022 Delegates
      • 2021 Delegates
      • 2020 Delegates
      • 2019 Delegates
      • 2018 Delegates
    • Become a Field Day Delegate
    • What Delegates Should Know
  • Events
    • All Events
      • Upcoming
      • Past
    • Field Day
    • Field Day Extra
    • Field Day Exclusive
    • Field Day Experience
    • Field Day Live
    • Field Day Showcase
  • Topics
    • Tech Field Day
    • Cloud Field Day
    • Mobility Field Day
    • Networking Field Day
    • Security Field Day
    • Storage Field Day
  • News
    • Coverage
    • Event News
    • Podcast
  • When autocomplete results are available use up and down arrows to review and enter to go to the desired page. Touch device users, explore by touch or with swipe gestures.
You are here: Home / Videos / The Energy Crunch Is Not a Future Problem with Solidigm

The Energy Crunch Is Not a Future Problem with Solidigm



AI Data Infrastructure Field Day 1

Manzur Rahman presented for Solidigm at AIDIFD1


This video is part of the appearance, “Solidigm Presents at AI Data Infrastructure Field Day 1“. It was recorded as part of AI Data Infrastructure Field Day 1 at 10:30-12:30 on October 3, 2024.


Watch on YouTube
Watch on Vimeo

In the presentation by Solidigm at AI Data Infrastructure Field Day 1, Manzur Rahman emphasized the critical issue of energy consumption in AI and data infrastructure. He referenced quotes from industry leaders like Sam Altman and Mark Zuckerberg, highlighting the significant challenge energy poses in scaling AI operations. Rahman discussed findings from white papers by Meta and Microsoft Azure, which revealed that a substantial portion of energy consumption in data centers is attributed to hard disk drives (HDDs). Specifically, Meta’s AI recommendation engine and Microsoft’s cloud services found that HDDs consumed 35% and 33% of total operational energy, respectively. This underscores the need for more energy-efficient storage solutions to manage the growing data demands.

Rahman then explored various use cases and the increasing need for network-attached storage (NAS) in AI applications. He noted that data is growing exponentially, with different modalities like text, audio, and video contributing to the data deluge. For instance, hyper-scale large language models (LLMs) and large video models (LVMs) require massive amounts of storage, ranging from 1.3 petabytes to 32 petabytes per GPU rack. The trend towards synthetic data and data repatriation is further driving the demand for NAS. Solidigm’s model for a 50-megawatt data center demonstrated that using QLC (Quad-Level Cell) storage instead of traditional HDDs and TLC (Triple-Level Cell) storage could significantly reduce energy consumption and increase the number of GPU racks that can be supported.

The presentation concluded with a comparison of different storage configurations, showing that QLC storage offers substantial energy savings and space efficiency. For example, a DGX H100 rack with QLC storage consumed only 6.9 kilowatts compared to 32 kilowatts for a setup with TLC and HDDs. This translates to 4x fewer storage racks, 80% less storage power, and 50% more DGX plus NAS racks in a 50-megawatt data center. Rahman also addressed concerns about heat generation and longevity, noting that while QLC may generate more heat and have fewer P/E cycles compared to TLC, the overall energy efficiency and performance benefits make it a viable solution for modern data centers. Solidigm’s high-density drives, such as the P-5520 and QLCP-P-5430, were highlighted as effective in reducing rack space and power consumption, further supporting the case for transitioning to more energy-efficient storage technologies.

Personnel: Manzur Rahman

  • Bluesky
  • LinkedIn
  • Mastodon
  • RSS
  • Twitter
  • YouTube

Event Calendar

  • Oct 9-Oct 9 — Tech Field Day Exclusive with Microsoft Security
  • Oct 15-Oct 15 — Tech Field Day Experience at NetApp INSIGHT 2025
  • Oct 22-Oct 23 — Cloud Field Day 24
  • Oct 29-Oct 30 — AI Field Day 7
  • Nov 5-Nov 6 — Networking Field Day 39
  • Nov 11-Nov 12 — Tech Field Day at KubeCon North America 2025
  • Jan 28-Jan 29 — AI Infrastructure Field Day 4
  • Apr 29-Apr 30 — Security Field Day 15

Latest Coverage

  • 68 Days Ahead: Turning DNS Data into Compliance and Cyber Resilience
  • What If Your Storage Knew How to Talk Back?
  • Behind the Exabytes: A Field Note from Inside the Cloud
  • Glean Insights & Value from Unstructured Data With Qlik Answers
  • Hammerspace and the Open Flash Platform at #AIIFD3

Tech Field Day News

  • The Latest in Cybersecurity Innovation at Security Field Day 14
  • Pushing the Boundaries of AI Performance, Scale, and Innovation at AI Infrastructure Field Day 3

Return to top of page

Copyright © 2025 · Genesis Framework · WordPress · Log in