Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, and full end-to-end reference examples to build with Nemotron models
- The Nemotron repository is a developer hub offering NVIDIA’s open, high‑efficiency models along with usage cookbooks, practical examples, and resources for inference, fine‑tuning, agentic workflows, visual reasoning, and deployment.
- It includes structured guides, end‑to‑end use‑case examples, and upcoming full training recipes covering synthetic data generation, data curation, training loops, evaluation, and documentation.
- The repo provides model‑specific cookbooks, agentic workflow examples, RAG systems, tool‑integration demos, and production‑ready application patterns.
- Nemotron models are optimized for edge devices, single‑GPU setups, and data‑center deployments, supporting frameworks like NeMo, TensorRT‑LLM, vLLM, and SGLang.
The repo is a developer hub created by NVIDIA for working with the Nemotron family of AI models. It contains everything needed to run, fine‑tune, deploy, and integrate Nemotron models into real applications.
End‑to‑end examples demonstrating:
- agentic workflows
- multi‑step AI agents
- tool calling
- RAG pipelines
- production‑ready application patterns
Models from NVIDIA Nemotron that work on Google Colab: Nemotron‑Nano‑9B‑v2 works on: T4, L4, A100, Nemotron‑3‑Nano (31.6B total / 3.6B active MoE) works on: A100 40GB and Nemotron‑Nano‑12B‑v2‑VL (Vision‑Language) works on: A100 40GB only.
