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NetApp ONTAP AI with NVIDIA DGX A100 Systems and Mellanox Spectrum Ethernet Switches This document describes a NetApp Verified Architecture for machine learning (ML) and artificial intelligence (AI) workloads using NetApp® AFF A800 storage systems, NVIDIA DGX™ A100 systems, and NVIDIA® Mellanox® Spectrum™ SN3700V 200Gb Ethernet switches. This design features RDMA over Converged Ethernet (RoCE) for the compute cluster interconnect fabric to provide customers with a completely ethernet-based architecture for high-performance workloads. This document also

Storage Infrastructure Considerations for Artificial Intelligence Deep Learning Training Workloads As enterprises move into the digital era through a process termed digital transformation, they are moving to more data-centric business models. While there are big data and analytics workloads that do not use artificial intelligence (AI), AI-driven applications are growing at a rapid rate over the next five years. AI workloads also include machine learning (ML) and deep learning (DL) workloads, and while more data

2023 Data and AI Trends Report Packed with IDC Research data and direction from today’s data thought leaders from Google, the 2023 Data and AI Trends Report reveals five key trends in data and AI that leading companies are acting on to stay current and competitive. In this Google Cloud report, you’ll learn: The direction in which data cloud is headed, and why How modern data ecosystems are being designed Where AI fits into today’s

E-Book: The Value of Harnessing AI in Underwriting While general insurers have been quick to take advantage of AI tools for underwriting, many specialty insurers have stuck with traditional processes In this e-book, we explore opportunities where AI can support underwriters in their daily workflows and help them respond to growing industry pressures. The full e-book covers: How AI and underwriters can work together The challenges and barriers to implementing AI How to build a