NVIDIA Corporation
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538 repositories
- LLM KV cache compression made easy
- 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
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
- BioNeMo Framework: For building and adapting AI models in drug discovery at scale
- C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
- 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.