NetApp: Enterprise Adoption of AI/ML Techniques Drive HPC Infrastructures
AI/Machine Learning/Deep Learning
Big Data Analytics
HPC Centre Planning and Operations
TimeWednesday, June 19th10:20am - 10:40am
DescriptionHigh Performance Computing workloads are typically built using a scale-out parallel architecture. At the heart of these infrastructures are Parallel File Systems. Examples include BeeGFS (ThinkParQ), SpectrumScale (IBM), Lustre (DDN) and StoreNext (Quantum). HPC and associated sub-markets have led the adoption of AI/ML techniques well ahead of traditional IT and Enterprises. As AI/ML techniques are adopted in the Enterprise we see deployment of Parallel File Systems and supporting system architectures. This talk will address how some HPC infrastructures will be challenged to supply the appropriate Enterprise requirements of Data Integrity, high reliability and security. We will also illustrate how some HPC infrastructures have made the step to fill the gaps required for Enterprise Data Centers as they adopt AI/ML techniques. We will also review new industry initiatives that support the system and architectural changes needed for AI/ML such as Gen-Z, SNIA Persistent Memory Initiative and SNIA Computational Storage.
Chief Architect & Sr. Director Business development