Why AI requires rethinking the storage-compute divide
For more than a decade, cloud architectures have been built around a deliberate separation of storage and compute. Under this model, storage became a place to simply hold data while intelligence lived entirely in the compute tier. This design worked well for traditional analytics jobs operating on structured, table-based data. These workloads are predictable, often…