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DTSTART;TZID=America/New_York:20201116T110000
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UID:2102-1605524400-1605529800@www.spectrumscaleug.org
SUMMARY:SC20 Meeting (Session 1): Storage for AI
DESCRIPTION:The Spectrum Scale user group meets annually at the SC conference. For 2020 the user group will be split into two 90 minute digital sessions. The second session will be on Wednesday Nov 18th\, 11 am EST\n>> Session 2: What is new in Spectrum Scale 5.1? << \nThis session will focus on Storage for AI including a customer case study and a deep dive in new Spectrum Scale features which optimize the analysis of datasets stored in a data lake. Live Q&A will be available.\nThe session will be hosted by IBM and moderated by the user group.\n>> Please register here to join the session. << \nContinental: Deep Thought – An AI Project for Autonomous Driving Development \nContinental\, 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 business partner SVA will present business requirements and derived workloads\, the Spectrum and ESS implementation\, and first operational experience. \nhttps://www.continental.com/en-us/press-/press-releases/continental-supercomputer-nvidia-228624 \nData Accelerator for AI and Analytics (DAAA) \nThis 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 to be able to deliver insights and business value in a timely manner. IBM addresses these requirements with the Data Accelerator for AI and Analytics (DAAA)\, an expertly engineered solution based on new features delivered with Spectrum Scale 5.1. The session will include a demo of a complex proof-of-concept and present the key learnings and results.
URL:https://www.spectrumscaleug.org/event/sc20-meeting-session-1-storage-for-ai/
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20201116T160000
DTEND;TZID=Europe/London:20201116T170000
DTSTAMP:20260407T071855
CREATED:20201119T173002Z
LAST-MODIFIED:20220128T180727Z
UID:2151-1605542400-1605546000@www.spectrumscaleug.org
SUMMARY:SSUG::Digital: 009 - Deep Thought: An AI Project for Autonomous Driving Development
DESCRIPTION: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 business partner SVA will present business requirements and derived workloads\, the Spectrum and ESS implementation\, and first operational experience. \n        \n        \n            \n                \n                    \n                \n               \n            \n        \n        \n  \nDownload slides here \nQ&A\nDid Continental ever look at Spectrum Discover for tagging? Any feedback on pros/cons for its usefulness at Continental?\nWe did not have a chance to look into Spectrum Discover. \nRelated material\n\nContinental: Automotive supercomputer\nContinental press release\n\nUser Group Host: Bill Anderson\nSpeaker\n\n\n\n\n	Speaker NamePhotoBio\n\n\n\n\n	David EnenkelDavid Enenkel is the Head of IT Operations at Continental - ADC GmbH. He has over 20 years of IT-Infrastructure experience and moved into the area of ADAS 2\,5 years ago. He and his team are supporting the ADC engineers to find and establish feasible IT solutions/services for the specific ADAS demands as well as operating the platforms and data centers. He led the Supercomputer project as the IT project manager and is happy to give an insight into all ups and downs building up such an environment.\n\n\n	Viktor PálViktor Pál is working as a Deep Learning Infrastructure Architect at Continental and is currently also acting as Technical Team Lead. He has more than 14 years of IT Infrastructure experience and started working at Continental two years ago. Viktor and his team are supporting AI development by designing\, implementing and operating the environment that enables Deep Learning at Continental. He contributed to the Supercomputer project as a Solution Architect and he will talk about the challenges of AI Infrastructure as Code.\n\n\n	Jochen ZellerJochen is IT Architect at www.sva.de. He has more than 20 years of IT experience\, is part of the SVA IT Architects team and technical leader of the Spectrum Scale team. His Spectrum Scale and infrastructure projects span various industries and fields\, such as HPC\, health care\, autonomous driving\, banking\, insurance\, etc. When he is not working with his customers\, he sits in his glider and flies away - at least in summer.
URL:https://www.spectrumscaleug.org/event/ssugdigital-deep-thought-an-ai-project-for-autonomous-driving-development/
LOCATION:Digital Event
CATEGORIES:Expert Talks
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20201116T170000
DTEND;TZID=Europe/London:20201116T180000
DTSTAMP:20260407T071855
CREATED:20201119T204741Z
LAST-MODIFIED:20220128T180701Z
UID:2157-1605546000-1605549600@www.spectrumscaleug.org
SUMMARY:SSUG::Digital: 010 - Data Accelerator for Analytics and AI (DAAA)
DESCRIPTION: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 to be able to deliver insights and business value in a timely manner. IBM addresses these requirements with the Data Accelerator for AI and Analytics (DAAA)\, an expertly engineered solution based on new features delivered with Spectrum Scale 5.1. The session will include a demo of a complex proof-of-concept and present the key learnings and results. \n        \n        \n            \n                \n                    \n                \n               \n            \n        \n        \n  \nDownload slides here \nRelated material\n\nRedpaper: Data Accelerator for Analytics and AI (DAAA)\n\nUser Group Host: Bill Anderson\nSpeakers\n\n\n\n\n	Speaker NamePhotoBio\n\n\n\n\n	Simon LorenzSimon Lorenz is an IT Architect at IBM Research and Development in Frankfurt\, Germany. He joined IBM Germany in 1993 and has held various positions within IBM and IBM Research and Development. During international assignments\, he helped to improve fully automated chip factories in Asia and US. Simon joined the IBM Spectrum Scale development team in 2014 and since then worked on: Openstack Swift integration\, designing and building System Health and Proactive Services solutions. Since March 2019 he is the world wide leader of the IBM Spectrum Scale Big Data and Analytics team. His role includes designing and building solutions in the area of AI such as the Data Accelerator for AI and Analytics.\n\n\n	Gero SchmidtGero Schmidt is a Software Engineer at IBM Germany Research and Development GmbH in the IBM Spectrum Scale development group.\nHe joined IBM in 2001 working at the European Storage Competence Center in Mainz\, Germany\, providing technical presales support for a broad range of IBM storage products with a primary focus on enterprise storage solutions\, system performance\, and IBM POWER systems. He participated in the product rollout of the IBM System Storage DS6000/DS8000 series\, co-authored several IBM Redbooks and has been a frequent speaker at IBM international conferences. In 2015 he joined the storage research group at the IBM Almaden Research Center in California\, USA\, where he worked on IBM Spectrum Scale\, compression of genomic data in next generation sequencing pipelines\, and the development of a cloud-native backup solution for containerized applications in Kubernetes/Red Hat OpenShift. In 2018 Gero joined the Big Data & Analytics team in the IBM Spectrum Scale development group.
URL:https://www.spectrumscaleug.org/event/ssugdigital-data-accelerator-for-analytics-and-ai-daaa/
LOCATION:Digital Event
CATEGORIES:Expert Talks
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