
The Cloudcast
The Evolution of Data Platforms
Jul 31, 2024
Jeff Denworth, Co-Founder of VAST Data, discusses the dynamic landscape of data platforms shaped by AI demands. He highlights the impact of GPUs on data center architectures, raising questions about storage performance and price in an AI-driven world. Denworth explores the real-world adoption of AI in enterprises and the modernization of infrastructure to meet these demands. He also emphasizes the transition to all-flash storage systems, addressing the evolving skills needed in data management amidst these technological shifts.
38:22
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Quick takeaways
- The evolution of data platforms is driven by the need for efficient storage solutions to support AI applications and large dataset management.
- Data curation has become increasingly vital, as the quality of datasets significantly impacts the accuracy of AI model training and outcomes.
Deep dives
Evolution of Data Platforms
The discussion focuses on the evolution of data platforms as cloud services adapt to meet the demands of new applications, particularly in the realm of artificial intelligence (AI). The hosts emphasize the growing importance of data storage methods and how traditional technologies like virtualization must evolve to accommodate modern requirements. As AI continues to develop, the storage and processing of massive datasets become increasingly critical to the performance and efficiency of these applications. This shift necessitates a reevaluation of existing data management strategies to ensure alignment with advancing technology.
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