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- 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)
- CUDA Core Compute Libraries
- AIStore: scalable storage for AI applications
- Efficient LLM Inference over Long Sequences
- NVIDIA Federated Learning Application Runtime Environment
- BioNeMo Framework: For building and adapting AI models in drug discovery at scale
- Scalable data pre processing and curation toolkit for LLMs
- the LLM vulnerability scanner