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- Ongoing research training transformer models at scale
- 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)
- the LLM vulnerability scanner
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.
- NVIDIA Federated Learning Application Runtime Environment
- A Python framework for accelerated simulation, data generation and spatial computing.
- LLM KV cache compression made easy
- Examples for Recommenders - easy to train and deploy on accelerated infrastructure.
- Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
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