Tech Field Day

The Independent IT Influencer Event

  • Home
    • Gestalt IT
    • About Tech Field Day
    • FAQ
    • Staff
  • Sponsors
    • Sponsor List
    • Sponsor 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
      • 2021 Delegates
      • 2020 Delegates
      • 2019 Delegates
      • 2018 Delegates
      • 2017 Delegates
      • 2016 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
  • Topics
    • Tech Field Day
    • Cloud Field Day
    • Mobility Field Day
    • Networking Field Day
    • Security Field Day
    • Storage Field Day
You are here: Home / Appearances / Intel Presents MemVerge at AI Field Day 1

Intel Presents MemVerge at AI Field Day 1



AI Field Day 1

Yue Li presented at AI Field Day 1

This Presentation date is November 20, 2020 at 11:00-12:00.


Presenters: Charles Fan, Yue Li


Follow on Twitter using the following hashtags or usernames: #AIFD1, @IntelAI, @MemVerge



Introducing Big Memory Computing, MemVerge, and Memory Machine Software

Watch on Vimeo
Watch on YouTube

Charles Fan, Co-Founder and CEO, introduces MemVerge in the context of big memory computing and memory machine software. In today’s computer, applications run in DRAM but store data in storage systems, but this presents challenges for today’s big data applications. MemVerge focuses on big memory computing, allowing applications to run in both DRAM and persistent memory like Intel’s Optane. The MemVerge platform presents a new solution for the cloud era, bringing bigger memory capacity at lower cost. This presentation was sponsored by Intel.

Personnel: Charles Fan

Machine Learning Use Cases for MemVerge Memory Machine Software

Watch on Vimeo
Watch on YouTube

Yue Li, Co-Founder and CTO, presents AI applications for MemVerge Memory Machine software. He begins with training using large memory, showing that DRAM can be combined with Intel Optane Persistent Memory (PMEM) to provide large memory capacity with DRAM-like speed. He uses GraphSAGE as an example of machine learning on a large graph with MemVerge Transparent Memory Service. Next he presents inference with a large model and feature embeddings using Facebook’s DLRM as an example. He also uses image recognition as an example of leveraging MemVerge. Finally he discusses using persistent memory for instant model rollback or recovery.

Personnel: Yue Li


  • Facebook
  • Instagram
  • LinkedIn
  • RSS
  • Twitter
  • YouTube

Event Calendar

  • Mar 10-12 — Cloud Field Day 10
  • Mar 23-25 — Security Field Day 5
  • Apr 13-14 — Tech Field Day Exclusive at Cisco Live Global 2021
  • Apr 21-23 — Tech Field Day 23
  • May 12-14 — Networking Field Day 25
  • May 26-28 — AI Field Day 2
  • Jun 23-25 — Cloud Field Day 11
  • Jul 14-16 — Mobility Field Day 6

Latest Links

Creating a New Physical Protection Infrastructure Group in VBR V11

NFD24 – DriveNets

Join Me for Cloud Field Day 10: March 10 – 12

Tom’s Virtual Corner at Cisco Live Global 2021 – Anniversary

Presenters React to the Networking Field Day Experience

Recent Videos

EfficientIP Next Generation IPAM - The Path to a Zero Touch Network

NetBeez WAN and Wi-Fi Network Monitoring Demo

DriveNets Portfolio of Networking Use Cases

Forward Networks Security Breach with Scot Wilson

Watch Tech Field Day on YouTube

Best of Tech Field Day

The Evolution of Data Deduplication Solutions and Infineta's Secret Sauce with Dr. K. V. S. Ramarao

Carter George presents Ocarina Networks capacity optimization in 2009 at TFD1

A discussion with Arista's Andy Bechtolsheim

Comparing Modern All-Flash Architectures - Dave Wright, SolidFire

Watch Tech Field Day on YouTube

Return to top of page

Copyright © 2021 · Genesis Framework · WordPress · Log in