Search. Pull. Build.

NVIDIA NeMo Framework is an end-to-end, cloud-native framework to build, customize, and deploy generative AI models anywhere.

NVIDIA NeMo RL is a scalable post-training library for reinforcement learning and supervised fine-tuning of large language models (GRPO, DPO, SFT, distillation and reward modeling), built on Ray, vLLM, PyTorch and Megatron.

The NVIDIA Container Toolkit allows users to build and run GPU accelerated containers.

Tools necessary for GPU and feature discovery for NVIDIA GPU driver container that allows the provisioning of the NVIDIA driver through the use of containers.

Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted AI platform designed to operate entirely offline. It supports various LLM runners like Ollama and OpenAI-compatible APIs, with built-in inference engine for RAG, making it a powerful AI deployment solution.

A minimal, wolfi-based image for pytorch, a Python package that provides two high-level features: Tensor computation with strong GPU acceleration and Deep neural networks built on a tape-based autograd system.