k8s-device-plugin
NVIDIA device plugin for Kubernetes
HYSEN LABS DIRECTORY
Verified repositories, classifications and analysis from the NVIDIA organization.
NVIDIA device plugin for Kubernetes
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.
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
CUDA Python: Performance meets Productivity
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes
The NVIDIA NeMo Agent toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
CUDA Core Compute Libraries
`std::execution`, the standard C++ framework for asynchronous and parallel programming.
NVIDIA curated collection of educational resources related to general purpose GPU programming.
cuTile is a programming model for writing parallel kernels for NVIDIA GPUs
AIStore: scalable storage for AI applications
NVIDIA GPU metrics exporter for Prometheus leveraging DCGM
Router that virtually distributes inference across connected devices in the home.
Simple samples for TensorRT programming
This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?
Tools for building GPU clusters
An efficient C++20 GPU numerical computing library with Python-like syntax
A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology