SanDisk sees KV cache driving 35% of AI data center NAND workloads by 2030

SanDisk predicts Key-Value (KV) cache will power 35% of AI data center storage by 2030. This shift will significantly increase demand for NAND flash memory, impacting storage costs and market dynamics for AI infrastructure.
Key takeaways
- KV cache expected to dominate AI data center storage.
- NAND flash demand will surge due to AI workloads.
- Storage costs and strategies will be reshaped.
- Efficient data access is becoming critical for AI.
Why it matters
Understanding storage trends like KV cache is crucial for optimizing AI workloads. This development suggests a future where efficient data access is paramount, potentially influencing the cost and performance of AI tools and platforms you rely on.
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