Which enterprises suit full on-premises deployment, dedicated cloud, or hybrid architecture? This article clarifies the trade-off between cost and security.
An enterprise's data security requirements determine the large model deployment architecture. Full on-premises deployment offers the highest security but requires large GPU investment, suitable for strongly regulated industries such as finance and government.
The dedicated cloud approach runs models in an isolated VPC, balancing cost and compliance—a pragmatic choice for most mid-sized enterprises.
Hybrid architecture keeps sensitive data on-premises and calls cloud APIs for general capabilities, offering the lowest cost and suitable for teams initially trying AI. When providing AI consulting to clients, we give selection recommendations graded by data sensitivity.