Cost-Smart AI Databases: Achieving Performance Goals while Reducing Cloud Total Cost of Ownership
AI-oriented workloads are quickly evolving into the very foundation of the enterprise application: semantic search, vector stores, agent memory, embeddings, predictive models, and real-time decision engines. This very transition has revealed a critical fact: AI databases are heavy consumers of resources, and cloud bills scale faster than the resource costs of the workloads themselves. Now, […]