![]() ![]() ![]() Resources offer documentation, code samples, and many other assets such as Jupyter Notebooks, deployment pipelines, and step-by-step instructions and scripts for creating deep learning models, making it easy to get started with deep learning. The pre-trained models can be used for inference or fine-tuned with transfer learning, saving data scientists and developers valuable time. The NGC Catalog offers pre-trained models for a wide range of common AI tasks optimized for NVIDIA Tensor Core GPUs. They enable software portability, and through a single command, users can pull, run and scale applications across the cloud, the data center, and the edge. Containers package software applications, libraries, dependencies, and run-time compilers in a self-contained environment to easily deploy them across various computing environments. The NGC Catalog hosts a broad range of containers, including deep learning frameworks, machine learning, HPC, and visualization applications that maximize the utilization of GPU environments. The NGC Catalog consists of containers, pre-trained models, Helm charts for Kubernetes deployments, and industry-specific AI toolkits with software development kits (SDKs). The content provided by NVIDIA and third-party ISVs simplifies building, customizing, and integrating GPU-optimized software into workflows, accelerating the time to solutions for users. The NGC Catalog is a curated set of GPU-optimized software for AI, HPC and Visualization. ![]()
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