Sessions 2026 | SNIA | Experts on Data

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AI Ready Data: Data Preparation, Versioning, and Vector Stores — The Expanding Role of Storage in the AI Pipeline

Himabindu Tummala

Distinguished Engineer

Dell Technologies

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Batched I/O: Reducing Overhead in the Storage Stack

Jeff Bromberger

Principal Software Engineer

Microsoft

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Beyond GPUs: NVMe SSD Power and Voltage Telemetry for AI Datacenters

Jacob Schmier

Senior Firmware Engineer

Sandisk

Carson Tunnell

Staff Engineer

Sandisk

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Beyond POSIX: Building a Protocol-Native VFS for User-Space NAS

Ben Jarvis

Distinguished Engineer

Quantum

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Building AI Data Foundations: Object Storage Patterns for Scale, Access, and Longevity

Kalyan Gunda

Senior Distinguished Engineer and Chief Architect for Unstructured Storage

Dell Technologies

Masood Noori

Solution Technologist

Seagate

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Capacity Begets Intelligence at Scale

Kapil Karkra

Senior Principal Engineer, AI Storage and Software Solutions

Solidigm

Nate Marushak

AI Technologist

Solidigm

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Characterizing and Emulating FDP SSDs with WARP

Inho Song

Computer Science Ph.D. Student

Virginia Tech

Shoaib Asif Qazi

Computer Science Ph.D. Student

Virginia Tech

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Computation Offload Specification for AI Frameworks to Emit Partitioning Functions Alongside Large Data-centric Tasks

Pankaj Mehra

Professor of Research / Founder and CEO

The Ohio State University / Elephance Memory, Inc.

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Democratizing AI Storage: Can We Achieve Object-over-RDMA to Generic JBOF Without Proprietary Transport Lock-In?

Zhe Wang

Distinguished Engineer

Broadcom Inc

Kyuho Son

Staff Software Enginee

Samsung Electronics

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DiskANN: Storage-Aware Provider Architecture for Vector Search

Alessandro Goncalves

Storage Solutions Architect

Solidigm

Harsha Vardhan Simhadri

Partner Researcher, Microsoft Azure

Microsoft

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E2: The SSD form factor for the Petabyte SSD era

Anthony Constantine

Distinguished Member, Technical Staff / Board Member

Micron Technology /

Ross Stenfort

Distinguished Engineer

Sandisk

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Emulating a Full RDMA NIC in Userspace with VFIO-User: Architecture, Backends, and Lessons from Reaching 2 GB/s RDMA Without Hardware

Stephen Bates

Fellow

AMD

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Enabling Terabytes of Byte-Addressable Memory using CXL Hybrid Memory Devices

Brian Hirano

VP, Business Development

XCENA

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Evolving Linux SMB3.1.1: Faster, Safer, More Scalable File Access

Steven French

Principal Software Engineer

Microsoft

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Filesystems for AI Agents: A Survey of an Emerging Landscape

Rohan Puri

Senior Staff Engineer

DataDirect Networks (DDN)

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From Fragmented Data to Open Standards: Product Category Rules and LCA at Scale for IT Hardware

Lisa Rivalin

Staff System Engineer, AI Fleet - Sustainability

Meta

Ines Sousa

Senior Sustainability Industry Advisor,

Microsoft

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GPU-Initiated NVMe: Cutting the CPU Out of the Accelerator-to-Storage Data Path

Stephen Bates

Fellow

AMD

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Increasing SSD Power and Efficiency with Liquid Cooling

Keith MacLean

System Architect

Micron Technology

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KV Cache as Distributed Storage: What Disaggregated Inference Demands from the Storage Stack

Abhishek Gupta

Storage Architect

Cerebras Systems

Rohan Puri

Senior Staff Engineer

DataDirect Networks (DDN)

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LPDDR Memory: A New CPU Memory Choice for AI Inference

Frank Ferro

Product Marketing Group Director

Cadence

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Managing Power and Performance to Deploy AI Factory at Scale

Chih-Tsung Huang

Senior Director of Hardware Engineering, Common Hardware Group

Cisco

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Maximizing E3.L 2T: Engineering Ultra‑Dense QLC SSDs

Trent Johnson

SSD Hardware Architect

IBM

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Memory Fabrics for AI-Native Data Services at Scale

Satananda Burla

Distinguished Engineer

Marvell

Gaurav Agarwal

Senior Distinguished Engineer

Marvell

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MRAM for AI

Jack Guedj

Co-Founder & CEO / CMS MRAM Alliance SIG, Co-Chair

Numem / SNIA

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MRAM for Automotive & Data Storage

Thomas Jew

Fellow

NXP

Steffen Hellmold

Fellow

Everspin

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MRAM for Data Centers in Space

Thomas Boone

Distinguished Engineer

Western Digital

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New SNIA AI Data Workloads Technical Working Group

Wes Vaske

Senior Member of Technical Staff / AI Data Workloads TWG Chair

Micron Technology / SNIA

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pNFS Lattice: Decoupling Metadata, State and Control in Parallel Filesystems

Brian Atkinson

HPC Engineer

Los Alamos National Laboratory

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Resiliency for AI workloads

Clarete Crasta

Principal Engineer

HPE

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SMR HDD Data-Preserving Depop

Filip Blagojevic

Research Scientist

Western Digital

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Storage for AI 104 - A Continuing Intro to Storage for Inference

Curtis Ballard

Storage Technology Architect

AMD

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Surpassing 10T scale for fine-grained data access to storage

CJ Newburn

Distinguished Engineer

NVIDIA

Senior Research Scientist

NVIDIA

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Toward GPU‑Agnostic Storage: RDMA-Accelerated Data Movement Across Heterogeneous GPU Systems

Jason Goldschmidt

Distinguished Engineer

Dell Technologies

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Using CXL Fabric-Attached Memory to Enable Shared KV Caches Across GPUs for Faster LLM Inference

Skyler Windh

MTS Systems Software Engineering

Micron Technology

Katya Giannios

Principal Machine Learning Engineer

Micron Technology

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USMB2: An SMB2/3 Client for Extremely Constrained Targets

Ronnie Sahlberg

Hacker

Australia