AI Compute Is the Buzz, But It All Begins with Storage

Dave Friend, cofounder and CEO of Wasabi, highlights a crucial yet often overlooked aspect of AI: data management. While AI discussions typically focus on compute capacity (CPUs and GPUs), the real challenge lies in storing, accessing, and managing massive datasets that are essential for training sophisticated AI models. The growth of AI demands increasingly large datasets, but traditional hyperscaler storage solutions are often expensive and complex, hindering efficient AI adoption. Friend suggests that organizations should seek affordable cloud storage options that allow for scalable, secure, and hybrid data management. This involves using immutable backups to safeguard against cyber threats and training employees on cybersecurity best practices. Furthermore, hybrid storage—keeping data both in the cloud and on-premises—provides cost-effective and secure access to data necessary for AI training. To stay competitive in the evolving AI landscape, organizations must prioritize effective and safe data storage solutions.

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