Level Up Your Generative AI Model Development

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Presented by

Mike Bloom, AI Solution Architect, WEKA

About this talk

In this webinar, Mike Bloom will take us through storage workload patterns in AI /ML as observed in a production setting, different types of AI models measured on a per workload basis and individual parts of the lifecycle of AI/ML., Through these three points of view, key bottlenecks and design criteria are discussed to provide success criteria for a robust storage system for modern AI/ML applications.
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We believe data-driven organisations shouldn’t have to choose between speed, simplicity, scale, sustainability, or seamless data portability. In the cloud and AI era, these should be foundational elements to every data environment – not points of compromise. That’s why we’re building an entirely new data management approach designed to support next-generation workloads flawlessly.