NVIDIA Corporation
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- TensorRT-Model-Optimizer Public
A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed.
NVIDIA/TensorRT-Model-Optimizer’s past year of commit activity - bionemo-framework Public
BioNeMo Framework: For building and adapting AI models in drug discovery at scale
NVIDIA/bionemo-framework’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 - k8s-nim-operator Public
An Operator for deployment and maintenance of NVIDIA NIMs and NeMo microservices in a Kubernetes environment.
NVIDIA/k8s-nim-operator’s past year of commit activity - TensorRT-LLM Public
TensorRT 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.
NVIDIA/TensorRT-LLM’s past year of commit activity
