NVIDIA-NeMo

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)

Switchyard lets LLM applications route traffic across models and providers while preserving native OpenAI and Anthropic API compatibility - enabling flexible model selection, benchmarking, and cost/performance optimization.

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

Scalable toolkit for efficient model reinforcement

Scalable data pre processing and curation toolkit for LLMs

A scalable, agentic-first, and HuggingFace-native RL framework for research (9k lines).

🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

Training library for Megatron-based models with bidirectional Hugging Face conversion capability

A tool to configure, launch and manage your machine learning experiments.

🕵️ NeMo Anonymizer: Detect and protect PII through context-aware replacement and rewriting