NVIDIA Corporation
Change the repository type filter
All
Repositories list
625 repositories
- CUDA Core Compute Libraries
- A unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed.
- C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
- NVIDIA device plugin for Kubernetes
- Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
- Ongoing research training transformer models at scale
- BioNeMo Framework: For building and adapting AI models in drug discovery at scale
- NeMo Retriever extraction is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever extraction uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.
- Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods