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cuda-quantum
PublicC++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflowsNVSentinel
PublicMegatron-LM
PublicOngoing research training transformer models at scalecccl
PublicCUDA Core Compute Librariestilus
Publicnvidia-container-toolkit
Publicnvidia-resiliency-ext
PublicTensorRT-LLM
PublicTensorRT 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.TensorRT-Model-Optimizer
PublicA unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.cuda-python
Publicskyhook
Publicproxyfs
Public- NeMo Retriever extraction is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever extraction uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
Fuser
PublicTransformerEngine
PublicA 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.cudaqx
Publicsandbox-device-plugin
Public- AIStore: scalable storage for AI applications
bionemo-framework
PublicBioNeMo Framework: For building and adapting AI models in drug discovery at scalenumbast
Public- GPU accelerated decision optimization