NVIDIA fork of tianocore/edk2

`std::execution`, the proposed C++ framework for asynchronous and parallel programming.

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

Accelerated libraries for quantum-classical computing built on CUDA-Q.

AIStore: scalable storage for AI applications

CUDA Core Compute Libraries

A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")

Ongoing research training transformer models at scale