NVIDIA Corporation
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- Model-Optimizer Public
A 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.
NVIDIA/Model-Optimizer’s past year of commit activity - tilus Public
Tilus is a tile-level kernel programming language with explicit control over shared memory and registers.
NVIDIA/tilus’s past year of commit activity - cuda-quantum Public
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
NVIDIA/cuda-quantum’s past year of commit activity - OSMO Public
The developer-first platform for scaling complex Physical AI workloads across heterogeneous compute—unifying training GPUs, simulation clusters, and edge devices in a simple YAML
NVIDIA/OSMO’s past year of commit activity - cuda-q-academic Public
This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.
NVIDIA/cuda-q-academic’s past year of commit activity - NeMo-Retriever Public
NeMo Retriever Library 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.
NVIDIA/NeMo-Retriever’s past year of commit activity - ncx-infra-controller-core Public
NCX Infra Controller - Hardware Lifecycle Management and multitenant networking
NVIDIA/ncx-infra-controller-core’s past year of commit activity
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