NVIDIA Corporation's repositories
open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
k8s-device-plugin
NVIDIA device plugin for Kubernetes
TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.
spark-rapids
Spark RAPIDS plugin - accelerate Apache Spark with GPUs
cuda-quantum
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
nvidia-settings
NVIDIA driver control panel
NeMo-Curator
Scalable toolkit for data curation
JAX-Toolbox
JAX-Toolbox
mig-parted
MIG Partition Editor for NVIDIA GPUs
nvidia-installer
NVIDIA driver installer
spark-rapids-examples
A repo for all spark examples using Rapids Accelerator including ETL, ML/DL, etc.
nvidia-modprobe
Load the NVIDIA kernel module and create NVIDIA character device files
spark-rapids-ml
Spark RAPIDS MLlib – accelerate Apache Spark MLlib with GPUs
nvidia-persistenced
NVIDIA driver persistence daemon
spark-rapids-tools
User tools for Spark RAPIDS
nvidia-xconfig
NVIDIA xorg.conf configurator
spark-rapids-jni
RAPIDS Accelerator JNI For Apache Spark
cloud-native-docs
Documentation repository for NVIDIA Cloud Native Technologies
kata-containers
Kata containers is an implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs.