Support Webinar: AFM – Deep Dive and Debugging (AP/JP Session)
IBM Spectrum Scale Webinars are hosted by IBM Spectrum Scale Support to share expertise and knowledge of the Spectrum Scale product, as well as product updates and best practices. This webinar will focus on AFM functionality in IBM Spectrum Scale. >> Register here << Agenda: Introduction to AFM AFM basics and architecture AFM commands for …
SSUG::Digital: 005 – Update on functional enhancements in Spectrum Scale (inode management, vCPU scaling, considerations for NUMA)
Digital EventSpectrum Scale is a highly scalable, high-performance storage solution for file and object storage. It started more than 20 years ago as research project and is now used by thousands of customers. IBM continues to enhance Spectrum Scale, in response to recent hardware advancements and evolving workloads. This presentation will discuss selected improvements in Spectrum …
SSUG::Digital: 006 – Persistent Storage for Kubernetes and OpenShift environments
Digital EventThis episode will discuss the Spectrum Scale Container Storage Interface (CSI). CSI is a standard for exposing arbitrary block and file storage systems to containerized workloads on container orchestration systems like Kubernetes and OpenShift. Spectrum Scale CSI provides your containers fast access to files stored in Spectrum Scale with capabilities such as dynamic provisioning of …
SSUG::Digital: 007 – Manage the lifecycle of your files using the policy engine
Digital EventThis episode will provide a comprehensive introduction to the IBM Spectrum Scale policy engine. It highlights the underlying architecture and how policies are executed in a IBM Spectrum Scale cluster. This episode also discusses example rules and policies facilitating Information Lifecycle Management accompanied with practical tips. Download slides here References Whitepaper: IBM Spectrum Scale …
SSUG::Digital: 008 – Scalable multi-node training for AI workloads on NVIDIA DGX, Red Hat OpenShift and IBM Spectrum Scale
Digital EventNvidia 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 …