NeMo is a comprehensive framework providing pre-built components for training and fine-tuning LLMs, speech recognition (ASR), and text-to-speech (TTS) models. It offers scalable training capabilities optimized for GPU clusters, pre-trained checkpoints, and tooling for research and production deployment of generative AI systems including automatic speech recognition, speaker recognition, and machine translation.