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The CNCF Data Storage in Cloud Native AI White Paper
Summary
- Deploying Artificial Intelligence (AI) and Machine Learning (ML) workloads at scale has become a primary objective for modern enterprises.
- However, moving these data-heavy, stateful workloads into cloud native infrastructure introduces massive data bottlenecks.
Why It Matters
Introduces novel architectures or algorithmic optimization methodologies that challenge existing limits.
Referenced Coverage & Sources
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