Sessions 2026 | SNIA | Experts on Data

To view last year’s agenda, Click here

-

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

Himabindu Tummala

Himabindu Tummala

Distinguished Engineer

Dell Technologies

-

Batched I/O: Reducing Overhead in the Storage Stack

Jeff Bromberger

Jeff Bromberger

Principal Software Engineer

Microsoft

-

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

Senior Firmware Engineer

Sandisk

Staff Engineer

Sandisk

-

Characterizing and Emulating FDP SSDs with WARP

Computer Science Ph.D. Student

Virginia Tech

Shoaib Asif Qazi

Shoaib Asif Qazi

Computer Science Ph.D. Student

Virginia Tech

-

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

Fellow,

AMD

-

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

Staff System Engineer, AI Fleet - Sustainability

Meta

Senior Sustainability Industry Advisor,

Microsoft

-

Increasing SSD Power and Efficiency with Liquid Cooling

System Architect

Micron Technology

-

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

Storage Architect

Cerebras Systems

Senior Staff Engineer

DataDirect Networks (DDN)

-

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

SSD Hardware Architect

IBM

-

Memory Fabrics for AI-Native Data Services at Scale

Satananda Burla

Satananda Burla

Distinguished Engineer

Marvell

Senior Distinguished Engineer

Marvell

-

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

Distinguished Engineer

NVIDIA

Senior Research Scientist

NVIDIA

-

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

MTS Systems Software Engineering

Micron Technology

Principal Machine Learning Engineer

Micron Technology