What feature does Nvidia Fabric Manager provide in GPU management?

Nvidia Fabric Manager is designed to manage the interconnections and communication between NVIDIA GPUs in a data center environment. One of its key features is topology awareness, which allows the manager to understand the layout and connections of the hardware. This awareness plays a crucial role in optimizing data flow, enhancing performance, and reducing bottlenecks by ensuring that data transfers between GPUs occur over the most efficient paths.

Additionally, congestion control is another significant aspect of its functionality. It helps to monitor and manage the traffic within the GPU communication fabric, preventing potential data traffic jams that could hinder performance. By effectively managing topology and congestion, Nvidia Fabric Manager enables the efficient use of GPU resources, which is essential in high-performance computing and AI workloads where multiple GPUs often collaborate on complex tasks.

The other options might relate to GPU performance or management but do not accurately encapsulate the primary role of Nvidia Fabric Manager in the context of optimizing GPU connectivity and performance.