Navigating the AI Journey from Pilot to Production
Organizations scaling AI from pilot projects to enterprise deployments face two critical challenges that determine whether AI delivers efficiency, revenue, and competitive advantage worth the investment.
Synopsis:
Organizations moving from isolated pilot projects to production-scale enterprise-wide deployments face two defining challenges - challenges that will determine whether AI delivers the organizational efficiency, revenue, and competitive advantage needed to justify its substantial investment.
- First, the operational bar rises in production environments. Will the cluster continuously operate at peak performance or falter under the pressure of production demands?
- Second, as AI breaks out of departmental silos and spreads across the enterprise, can AI infrastructure serve multiple diverse functions effectively or will there be disputes concerning resource allocation and data security?
In this session, we'll discuss the pitfalls undermining production-scale AI initiatives. You’ll learn about-
- Performance and availability issues unique to production GPU clusters and how to identify and resolve silent performance degradations.
- Multiple multi-tenancy approaches to determine the best method for hosting diverse user communities.
- Lessons learned from real-world customer deployments.
- How Penguin Solutions ICE ClusterWare 13.0 address the pitfalls and delivers peak cluster performance at enterprise scale.
Speakers:
Shailesh Shenoy
Assistant Dean for Information Technology, Albert Einstein College of Medicine
Shailesh Shenoy stands at the forefront of technological innovation as the Assistant Dean for Information Technology at Albert Einstein College of Medicine, where his mission is clear: to empower researchers and students and drive forward the institution's pursuit of scientific breakthroughs. Shailesh uses AI and SaaS solutions to enhance business processes, automate IT operations, and improve security posture.
By leveraging these technologies and working with top-tier partners, he streamlines workflows, increases efficiency, and reduces costs, ensuring Einstein remains a competitive force in biomedical research and education. This steadfast commitment to excellence complements the values and goals of Einstein, fostering a culture of curiosity, resilience, and collaborative success.
Mark Seamans
Senior Vice President, Global Marketing and Products, Penguin Solutions
Mark Seamans, Senior Vice President of Global Marketing and Products has deep technical knowledge and extensive leadership experience in the design and implementation of complex enterprise infrastructure for cloud computing, AI, big data storage, HPC (high-performance computing), and business process management. He puts this technical background to good use developing and driving Penguin Solutions’ global marketing strategies.
Previously, Mark led product and portfolio management teams at Hewlett-Packard Enterprise (HPE), with a focus on HPC/AI storage and data management. He also served as a senior technology leader and architect for data storage solutions at Silicon Graphics International (SGI) and has held senior leadership roles at several startups and publicly traded technology companies.
Mark received his bachelor’s degree in cognitive science from the University of California, San Diego, where he specialized in artificial intelligence and user experience (UX) technologies. He holds an M.S. in engineering management from National Technological University and has completed executive programs on strategic growth at the Columbia University School of Business.
Navigating the AI Journey from Pilot to Production
Organizations scaling AI from pilot projects to enterprise deployments face two critical challenges that determine whether AI delivers efficiency, revenue, and competitive advantage worth the investment.
Synopsis:
Organizations moving from isolated pilot projects to production-scale enterprise-wide deployments face two defining challenges - challenges that will determine whether AI delivers the organizational efficiency, revenue, and competitive advantage needed to justify its substantial investment.
- First, the operational bar rises in production environments. Will the cluster continuously operate at peak performance or falter under the pressure of production demands?
- Second, as AI breaks out of departmental silos and spreads across the enterprise, can AI infrastructure serve multiple diverse functions effectively or will there be disputes concerning resource allocation and data security?
In this session, we'll discuss the pitfalls undermining production-scale AI initiatives. You’ll learn about-
- Performance and availability issues unique to production GPU clusters and how to identify and resolve silent performance degradations.
- Multiple multi-tenancy approaches to determine the best method for hosting diverse user communities.
- Lessons learned from real-world customer deployments.
- How Penguin Solutions ICE ClusterWare 13.0 address the pitfalls and delivers peak cluster performance at enterprise scale.
Speakers:
Shailesh Shenoy
Assistant Dean for Information Technology, Albert Einstein College of Medicine
Shailesh Shenoy stands at the forefront of technological innovation as the Assistant Dean for Information Technology at Albert Einstein College of Medicine, where his mission is clear: to empower researchers and students and drive forward the institution's pursuit of scientific breakthroughs. Shailesh uses AI and SaaS solutions to enhance business processes, automate IT operations, and improve security posture.
By leveraging these technologies and working with top-tier partners, he streamlines workflows, increases efficiency, and reduces costs, ensuring Einstein remains a competitive force in biomedical research and education. This steadfast commitment to excellence complements the values and goals of Einstein, fostering a culture of curiosity, resilience, and collaborative success.
Mark Seamans
Senior Vice President, Global Marketing and Products, Penguin Solutions
Mark Seamans, Senior Vice President of Global Marketing and Products has deep technical knowledge and extensive leadership experience in the design and implementation of complex enterprise infrastructure for cloud computing, AI, big data storage, HPC (high-performance computing), and business process management. He puts this technical background to good use developing and driving Penguin Solutions’ global marketing strategies.
Previously, Mark led product and portfolio management teams at Hewlett-Packard Enterprise (HPE), with a focus on HPC/AI storage and data management. He also served as a senior technology leader and architect for data storage solutions at Silicon Graphics International (SGI) and has held senior leadership roles at several startups and publicly traded technology companies.
Mark received his bachelor’s degree in cognitive science from the University of California, San Diego, where he specialized in artificial intelligence and user experience (UX) technologies. He holds an M.S. in engineering management from National Technological University and has completed executive programs on strategic growth at the Columbia University School of Business.