data scalability

AI's data explosion is reshaping storage: from high-throughput NVMe and disaggregated, software-defined architectures to tiered object storage that balances hot and cold data. Expect more CXL and computational storage, GPU-direct paths, and DPUs to cut latency. Efficiency, governance, and security drive designs, while edge and hybrid clouds bring data locality for training, inference, and RAG pipelines.