Enterprise AI On-Prem: Scaling GPUaaS with Kubernetes
Building Enterprise AI On-Prem infrastructure requires a shift from cloud-first thinking to high-performance local architecture. By utilizing Multi-Instance GPU (MIG), time-slicing, and idempotent Kubernetes reconcilers, organizations can reduce costs and improve latency. This guide explores the technical realities of architecting a scalable GPU-as-a-Service platform for production-grade AI workloads.