SNIA Developer Conference September 15-17, 2025 | Santa Clara, CA
Choosing Your AI Storage Protocol: A Deep Dive into SMB and NFS Performance, Tuning, and Overhead
Abstract
The performance of network file protocols is a critical factor in the efficiency of the AI and Machine Learning pipeline. This presentation provides a detailed comparative analysis of the two leading protocols, Server Message Block (SMB) and Network File System (NFS), specifically for demanding AI workloads.
We evaluate the advanced capabilities of both protocols, comparing SMB3 with SMB Direct and Multichannel against NFS with RDMA and multistream TCP configurations. The industry-standard MLPerf Storage benchmark is used to simulate realistic AI data access patterns, providing a robust foundation for our comparison. The core of this research focuses on quantifying the performance differences and identifying the operational and configuration overhead associated with each technology.
Learning Objectives
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Choosing Your AI Storage Protocol: A Deep Dive into SMB and NFS Performance, Tuning, and Overhead
The performance of network file protocols is a critical factor in the efficiency of the AI and Machine Learning pipeline. This presentation provides a detailed comparative analysis of the two leading protocols, Server Message Block (SMB) and Network File System (NFS), specifically for demanding AI workloads.
We evaluate the advanced capabilities of both protocols, comparing SMB3 with SMB Direct and Multichannel against NFS with RDMA and multistream TCP configurations. The industry-standard MLPerf Storage benchmark is used to simulate realistic AI data access patterns, providing a robust foundation for our comparison. The core of this research focuses on quantifying the performance differences and identifying the operational and configuration overhead associated with each technology.
Panel: Driving Sustainability in Datacenters – Standardizing Carbon Assessment Methodologies
As the demand for cloud services continues to grow, so does the environmental impact of datacenters. Accurately measuring and managing carbon emissions is essential to advancing sustainability goals—but today’s approaches to carbon assessment vary widely across the industry. The panelists include Sustainability experts from Google, Meta, and Microsoft to discuss how the cloud industry can align on Product Category Rules (PCRs) and Lifecycle Assessment (LCA) standards to drive consistency, transparency, and real impact.
PCRs serve as foundational guidelines for conducting LCAs, the methodology used to quantify the carbon footprint of devices and services. With a standardized PCR framework, cloud providers can perform have comparable, credible, and actionable carbon assessments —supporting better decision-making across procurement, design, and operations.
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