SSUG::Digital: 008 – Scalable multi-node training for AI workloads on NVIDIA DGX, Red Hat OpenShift and IBM Spectrum Scale

Digital Event

Nvidia and IBM did a complex proof-of-concept to demonstrate the scaling of AI workload using Nvidia DGX, Red Hat OpenShift and IBM Spectrum Scale at the example of ResNet-50 and the segmentation of images using the Audi A2D2 dataset. The project team published an IBM Redpaper with all the technical details and will present the

SSUG::Digital: 009 – Deep Thought: An AI Project for Autonomous Driving Development

Digital Event

Continental, a tier-1 automotive supplier, runs a new high-performance cluster based on NVIDIA DGX, IBM Spectrum Scale and IBM ESS to boost autonomous driving development performance. Continental uses this system for deep learning, simulation, virtual data generation and related workloads. The new cluster reduces development time from weeks to hours. Speakers from Continental and the

SSUG::Digital: 010 – Data Accelerator for Analytics and AI (DAAA)

Digital Event

This talk focuses on the need of data orchestration in enterprise data pipelines. It provides details about data orchestration and how to address typical challenges that customers face when dealing with large and ever-growing amounts of data for data analytics. While the amount of data increases steadily, AI workloads need to speed up in order

SSUG::Digital: 011 – What is new in Spectrum Scale 5.1?

Digital Event

Spectrum Scale is a highly scalable, high-performance storage solution for file and object storage. IBM continues to enhance Spectrum Scale performance, in response to recent hardware advancements and evolving workloads. This talk will discuss key enhancements delivered with Spectrum Scale 5.1 including Fileset QoS, AFM to object storage, NFSv4.1 support, IPv6 for Cluster Export Services