WHY AI IS A STORAGE WORKLOAD

Summary from the TLDR Data newsletter

AI inference is becoming stateful infrastructure: long-context sessions, agents, RAG, and multimodal workflows create durable KV caches, prefixes, memories, and embeddings that are cheaper to store than recompute after enough reuse. The storage hierarchy is moving into the hot path, with HBM, DRAM, SSDs, object storage, CXL, and flash tiers shaping latency and cost.