S3 over RDMA
Utilizing RDMA for S3 object data transfer has become an emerging trend for accelerating AI/ML workloads. This BoF invites those who want to discuss use cases, challenges and best practices related to this technology.
SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA
Jason Goldschmidt
Member of Technical Staff,
Dell Technologies
Jason is a Storage Architect at Dell Technologies, working in the Storage Chief Technology Office. His role involves leading the development of next-generation storage and network protocols for both Public and Private Clouds. Throughout his career, Jason has focused on enterprise storage and meeting the needs of customers who want to expand beyond the traditional on-premises data center. He enjoys collaborating with customers and partners to understand their requirements when transforming their business. In his personal life, Jason is passionate about running marathons and baking artisan bread. He lives in Newton, Massachusetts, with his wife and their three children.
Accelerating Object Storage for AI/ML with S3 RDMA
Amazon S3 is the de facto standard for object storage—simple, scalable, and accessible via HTTP. However, traditional S3 access via TCP/IP is CPU-intensive and not designed for the low-latency, high-throughput needs of modern GPU workloads. S3 RDMA aims to bridge that gap. S3 RDMA implements S3 object PUT/GET data transfers over RDMA, essentially bypassing the HTTP stack entirely.