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AI Hardware Forum 2022

  • Yorktown Heights, NY, USA
This event has ended.

About

The Future of AI Models and Infrastructure.

We're witnessing a transition in AI. Narrow systems able to execute specific tasks in a single domain are giving way to broad AI that learns more generally and can work across domains and problems. This shift is being bolstered by foundation models, which are trained on large, unlabeled datasets and fine-tuned for an array of applications. They are transforming how we compute at scale. But we need more innovation in hardware and infrastructure to power and deploy this next generation of AI models. Continuing to rely on conventional infrastructure and processors is simply not scalable — or sustainable. 

The 2022 AI Hardware Forum takes place on October 18 at the T.J. Watson Research Center in Yorktown Heights, New York. 

This event is by invitation only. If interested in attending, please email the IBM Research AI Hardware Center: ibmaihw@us.ibm.com

Why attend

We will come together to discuss what's next in foundation models and the challenges in designing AI hardware to support complex and multi-modal workloads. There will be presentations from industry leaders, interactive demos by IBM experts, and a poster session showcasing research from leading universities.

Speakers

MK
Mukesh Khare

Mukesh Khare

Vice President, Hybrid Cloud
IBM Research
RR
Rahul Ramachandran

Rahul Ramachandran

Senior Research Scientist and Manager, Earth Science Branch
NASA
CP
Cheolmin Park

Cheolmin Park

Vice President, Memory Product Planning
Samsung
IC
Ian Cutress

Ian Cutress

Chief Analyst
More than Moore
JB
Jeffery Burns

Jeffery Burns

Director, AI Compute
IBM Research
TG
Talia Gershon

Talia Gershon

Director, Hybrid Cloud Infrastructure
IBM Research
KM
Kaoutar El Maghraoui

Kaoutar El Maghraoui

Principal Research Staff Member, AI Engineering
IBM Research
FR
Fredy Rabih

Fredy Rabih

VP Products
NeurealityFredyR

Agenda

  • Registration check-in & coffee served in lobby

  • Welcome remarks, Mukesh Khare (IBM)

    Keynotes:

    • Building Foundation AI Model to better understand our planet, Rahul Ramachandran (NASA)
    • Memory and chiplets architecture for AI compute, Cheolmin Park (Samsung)
    RR
    Rahul Ramachandran
    Rahul Ramachandran
    Senior Research Scientist and Manager, Earth Science Branch
    NASA
    CP
    Cheolmin Park
    Cheolmin Park
    Vice President, Memory Product Planning
    Samsung
    MK
    Mukesh Khare
    Mukesh Khare
    Vice President, Hybrid Cloud
    IBM Research

  • Opening Remarks – Jeff Burns (IBM)

    • Intro to Foundation Models – Dakshi Agrawal (IBM)
    • From HPC to Cloud Native Supercomputer Lessons Learned & What is Next – Kaoutar El Maghraoui (IBM) & Talia Gershon (IBM)
    • Digital Accelerators for Inference – Leland Chang (IBM) & Fredy Rabih (NeuReality)
    • Heterogeneous Integration for AI Chips – Dale McHerron (IBM) & James Papanu (TEL)
    JB
    Jeffery Burns
    Jeffery Burns
    Director, AI Compute
    IBM Research
    DA
    Dakshi Agrawal
    Dakshi Agrawal
    IBM Fellow and CTO, AI
    IBM Research
    TG
    Talia Gershon
    Talia Gershon
    Director, Hybrid Cloud Infrastructure
    IBM Research
    KM
    Kaoutar El Maghraoui
    Kaoutar El Maghraoui
    Principal Research Staff Member, AI Engineering
    IBM Research
    LC
    Leland Chang
    Leland Chang
    Principal Research Staff Member & Sr Manager, AI Hardware Design
    IBM Research
    FR
    Fredy Rabih
    Fredy Rabih
    VP Products
    NeurealityFredyR
    DM
    Dale McHerron
    Dale McHerron
    Senior Manager, Process Strategy
    IBM Research
    JP
    James (Jim) Papanu
    James (Jim) Papanu
    Sr. Director, 3DI Technology
    TEL

  • IBM Showcases and Demos

    • Cores and Architecture
    • Analog Elements
    • Heterogeneous Integration
    • End-Use Testbed
    • Infrastructure & Foundation Models

    Academic Posters

  • Special Panel

    Theme: What’s Next in AI Models and Infrastructure

    • Moderator - Ian Cutress (More than Moore) 
    • Panelists from Academia, IBM, and Industry
    IC
    Ian Cutress
    Ian Cutress
    Chief Analyst
    More than Moore
    JJ
    Jay Jubran
    Jay Jubran
    Director, IBM Cloud Product Management Infrastructure Services
    IBM
    LC
    Luca Carloni
    Luca Carloni
    Professor and Chair of Computer Science
    Columbia University
    AH
    Andy Hock
    Andy Hock
    VP of Product
    Cerebras
    ID
    Isidoros Doxas
    Isidoros Doxas
    AI Systems Architect
    Northrop Grumman Mission Systems