OpenSM (Open Subnet Manager) is essential for InfiniBand networks, managing the fabric by discovering topology, configuring switches and host channel adapters (HCAs), and handling routing. Without it, the fabric cannot operate. Verbs is an API for RDMA, and MPI is a communication protocol, but OpenSM is the critical software component for functionality.
(Reference: NVIDIA Networking Documentation, Section on InfiniBand Subnet Management)

The correct hierarchy is Machine Learning # Deep Learning # Generative AI. NVIDIA explains that "Deep learning is a subset of AI and machine learning that uses multi-layered artificial neural networks." NVIDIA's deep learning glossary also states that "Deep learning is a subset of artificial intelligence (AI) and machine learning (ML)" and describes the progression of AI, machine learning, and deep learning.
For this exam question, the closest correct subset sequence among the options is B: Machine Learning, Deep Learning, Generative AI. Generative AI is commonly built from deep learning models that generate new content, so it is the most specific category in the listed hierarchy. Option A reverses the hierarchy, and option C incorrectly places Generative AI before Deep Learning.
Reference: NVIDIA Deep Learning Developer Page; NVIDIA Deep Learning Glossary.

The CUDA Deep Neural Network library (cuDNN) is NVIDIA's SDK specifically designed to accelerate machine learning, particularly deep learning tasks. It provides highly optimized implementations of neural network primitives-such as convolutions, pooling, normalization, and activation functions-leveraging GPU parallelism. Clara focuses on healthcare applications, and RAPIDS accelerates data science workflows, but cuDNN is the core SDK for machine learning acceleration.
(Reference: NVIDIA cuDNN Documentation, Introduction)