NVIDIA Corporation
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- https://nvidia.com
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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 - 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 - NVSentinel Public
NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated computing environments
NVIDIA/NVSentinel’s past year of commit activity - recsys-examples Public
Examples for Recommenders - easy to train and deploy on accelerated infrastructure.
NVIDIA/recsys-examples’s past year of commit activity - cuEquivariance Public
cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural networks. Also includes kernels for accelerated structure prediction.
NVIDIA/cuEquivariance’s past year of commit activity - DALI Public
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
NVIDIA/DALI’s past year of commit activity - nvalchemi-toolkit Public
ALCHEMI Toolkit is a developer toolkit for accelerating training and inference for AI in chemistry and material science.
NVIDIA/nvalchemi-toolkit’s past year of commit activity
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