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.

NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes

Ubuntu kernels which are optimized for NVIDIA server systems

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

JAX-Toolbox

CUDA Core Compute Libraries

NVIDIA fork of tianocore/edk2

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

Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.

BioNeMo Framework: For building and adapting AI models in drug discovery at scale