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cuda-quantum
PublicC++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows- CUDA Core Compute Libraries
- 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)
- Ongoing research training transformer models at scale
- Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
gds-nvidia-fs
PublicRTX-AI-Toolkit
Public- AIStore: scalable storage for AI applications
bionemo-framework
PublicBioNeMo Framework: For building and adapting AI models in drug discovery at scaleNeMo-Aligner
Publiccuda-python
PublicTransformerEngine
PublicA library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.- Scalable data pre processing and curation toolkit for LLMs
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
cuCollections
Public- the LLM vulnerability scanner
spark-rapids-tools
Publicnim-deploy
Public