Which set of libraries provides optimized implementations of common AI operations for LLM inference?

The optimal choice for providing optimized implementations of common AI operations specifically for LLM inference is the CUDA-X AI Libraries. These libraries encompass a comprehensive suite of tools and libraries designed to enhance the performance of AI applications, including those with Large Language Models (LLMs). They leverage NVIDIA's hardware capabilities, particularly for optimizing deep learning workflows, and include various components such as cuDNN for deep neural networks and TensorRT for inference optimization.

CUDA-X AI Libraries are tailored to address the specific needs of AI models during inference, ensuring high efficiency and speed. This is crucial for scenarios where rapid response times are necessary, such as real-time applications of LLMs.

While other options provide significant functionalities, such as cuDNN for deep learning and TensorRT for inference optimizations, CUDA-X AI Libraries collectively bring together a broader range of solutions suited for AI tasks, ensuring that they are optimized for both training and inferencing tasks in large-scale AI applications.