"Moore tells that the vast majority of AI projects never make it to production. There is a good reason for that. This reason has to do with data, he says: "If you race ahead and do all the sexy AI stuff without getting the data right, then you're probably going to fail." This mirrors the failed promises of big data and enterprise data warehousing from previous technology cycles. It's a shame we apparently don't learn from those experiences."
"While disaggregated storage isn't entirely new, NetApp's AFX platform combines massive scale-out capabilities with the enterprise-grade features the company has refined over 30 years. NetApp AFX has an integrated optional compute module. This module is essential for AI workloads, according to NetApp. If you are interested in this new high-end system because of its performance but don't want to run AI workloads, you can also deploy it without the Arm-based compute module."
NetApp unveiled the AFX disaggregated storage platform at Insight 2025 to address critical data foundation challenges that cause 95% of AI projects to fail before production. Poor data preparation and attempts to move or consolidate all data before deriving value increase costs, create security risks, and prevent results. AFX inverts that model by bringing AI capabilities to where data already resides. AFX combines massive scale-out disaggregated storage with enterprise-grade features refined over 30 years. An optional integrated Arm-based compute module is available and essential for AI workloads, while the system can be deployed without compute for performance-only use. Consolidation normalizes the AI offering while maintaining enterprise flexibility, and emerging European AI regulation could accelerate adoption by providing clearer frameworks for deployment.
Read at Techzine Global
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