NVIDIA Corporation
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- 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)
- C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
- CUDA Core Compute Libraries
- BioNeMo Framework: For building and adapting AI models in drug discovery at scale
- A 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
- the LLM vulnerability scanner
- AIStore: scalable storage for AI applications
- NVIDIA Federated Learning Application Runtime Environment
- Ongoing research training transformer models at scale