What NVIDIA solution should be considered for implementing a hybrid cloud AI infrastructure?

Considering hybrid cloud AI infrastructure, NVIDIA Fleet Command is particularly relevant because it enables users to manage and orchestrate AI workloads across various cloud environments and on-premise infrastructure effectively. This solution is designed for deploying, managing, and scaling AI applications in diverse environments, which is essential for hybrid setups that integrate public cloud resources with private data centers.

Fleet Command offers centralized management, resource optimization, and monitoring capabilities, making it ideal for organizations looking to leverage both on-premise and cloud resources while maintaining control over their AI workloads. It streamlines deployment and helps organizations efficiently utilize their resources in a hybrid model.

While other options have their specific use cases, such as accelerating inference (Triton Inference Server) or deploying medical imaging solutions (Clara Deploy SDK), they do not provide the overarching management and orchestration functionality that Fleet Command offers for hybrid AI infrastructures. Multi-Instance GPU (MIG) can partition GPUs for multiple workloads but does not centrally manage the hybrid cloud components, making Fleet Command the most suitable choice in this context.