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DTSTART;TZID=America/Chicago:20251116T111000
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UID:submissions.supercomputing.org_SC25_sess219_ws_resdis101@linklings.com
SUMMARY:An RDMA-First Object Storage System with SmartNIC Offload
DESCRIPTION:Yu Zhu (ETH Zurich); Aditya Dhakal, Pedro Bruel, and Gourav Ra
 ttihalli (Hewlett Packard Labs); Yunming Xiao (The Chinese University of H
 ong Kong, Shenzhen); and Johann Lombardi and Dejan Milojicic (Hewlett Pack
 ard Labs)\n\nAI training and inference impose sustained, fine-grained I/O 
 that stresses host-mediated, TCP-based storage paths. We revisit POSIX-com
 patible object storage for GPU-centric pipelines and present ROS2, an RDMA
 -first design that offloads the DAOS client to an NVIDIA BlueField-3 Smart
 NIC while leaving the server-side DAOS I/O engine unchanged. ROS2 splits a
  lightweight gRPC control plane from a high-throughput data plane (UCX/lib
 fabric over RDMA or TCP), removing host mediation from the data path. Usin
 g FIO/DFS across local and remote settings, we show that on server-grade C
 PUs RDMA consistently outperforms TCP for large sequential and small rando
 m I/O. When the client is offloaded to BlueField-3, RDMA performance match
 es the host; TCP on the SmartNIC lags, underscoring RDMA’s advantage for o
 ffloaded deployments. We conclude that an RDMA-first, SmartNIC-offloaded o
 bject store is a practical foundation for LLM data delivery; optional GPUD
 irect placement is left for future work.\n\nRecording: Livestreamed, Recor
 ded\n\nRegistration Category: Technical Program Reg Pass, Workshop Reg Pas
 s\n\nSession Chairs: Balazs Gerofi (Intel Corporation, RIKEN Center for Co
 mputational Science (R-CCS)); Christian Pinto (IBM); and John Shalf (Lawre
 nce Berkeley National Laboratory (LBNL))\n\n
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