Which inference server supports on-premise deployment and GPU scheduling for regulated workloads?

For regulated, on-premise workloads, a common choice is NVIDIA Triton Inference Server with an on-prem GPU orchestration layer such as Kubernetes with GPU scheduling.

If you mean a server that natively fits this use case, Triton Inference Server is widely used because it supports:

• On-prem deployment
• GPU acceleration
• Multi-model serving
• Integration with Kubernetes/GPU scheduling for controlled, regulated environments

If you want, I can also compare Triton with alternatives like KServe, BentoML, or Ray Serve for regulated deployments.