NVIDIA Corporation's repositories
Megatron-LM
Ongoing research training transformer models at scale
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
NeMo-Aligner
Scalable toolkit for efficient model alignment
cuda-quantum
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
NeMo-Framework-Launcher
Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.
NeMo-Curator
Scalable toolkit for data curation
NeMo-text-processing
NeMo text processing for ASR and TTS
JAX-Toolbox
JAX-Toolbox
modulus-sym
Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts
gpu-driver-container
The NVIDIA GPU driver container allows the provisioning of the NVIDIA driver through the use of containers.
spark-rapids-tools
User tools for Spark RAPIDS
nim-anywhere
Accelerate your Generative AI with NIMs.
spark-rapids-jni
RAPIDS Accelerator JNI For Apache Spark
k8s-test-infra
K8s-test-infra
edk2-platforms
NVIDIA fork of tianocore/edk2-platforms