NVIDIA Corporation
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545 repositories
- CUDA Core Compute Libraries
- C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
- A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
- NVIDIA device plugin for Kubernetes
- BioNeMo Framework: For building and adapting AI models in drug discovery at scale
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
- A single-header C++ library for simplifying the use of CUDA Runtime Compilation (NVRTC).
- A unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.
- Ongoing research training transformer models at scale
- NVIDIA Federated Learning Application Runtime Environment
- AIStore: scalable storage for AI applications