NVIDIA NeMo Essentials

Master NVIDIA NeMo for LLMs & Speech AI

Framework for building, training, and deploying large-scale language, speech, and multimodal models with enterprise-grade performance.

Models Deployed

12,430+

Active Developers

58,900+

Key Features

LLM Training & Inference

Train and deploy large language models with parallelism and memory optimization.

Conversational AI

Build chatbots and virtual assistants with intent detection and response generation.

Modular Architecture

Use prebuilt modules for NLP, ASR, TTS, and multimodal tasks.

Scalable Training

Supports Megatron-style training with data, tensor, and pipeline parallelism.

Speech AI

Build ASR and TTS systems with pretrained models and custom datasets.

How It Works

Install NeMo

Use `pip install nemo_toolkit` or build from source for full GPU support.

Choose a Domain

Select from NLP, ASR, TTS, or multimodal pipelines.

Load Pretrained Model

Use `from_pretrained()` to load models from NVIDIA NGC or Hugging Face.

Train or Fine-tune

Customize models with your data using PyTorch Lightning and Hydra configs.

Deploy with Triton

Export models and serve them using NVIDIA Triton Inference Server.

Code Example

// NVIDIA NeMo Model Training

from nemo.collections.nlp.models import TextClassificationModel

model = TextClassificationModel.from_pretrained("bert-base-uncased")
results = model.predict(["NeMo makes AI scalable."])
print(results)

Use Cases

Enterprise Chatbots

Deploy scalable virtual assistants with domain-specific knowledge.

Speech Recognition

Transcribe audio using ASR models trained on multilingual datasets.

Text Classification

Categorize documents, emails, or support tickets using NLP pipelines.

Voice Synthesis

Generate lifelike speech using TTS models with emotional tone control.

Multimodal AI

Combine text, audio, and vision for rich, context-aware applications.

Integrations & Resources

Explore NVIDIA NeMo’s ecosystem and find the tools, platforms, and docs to accelerate your workflow.

Popular Integrations

PyTorch Lightning for training
Hydra for configuration management
NVIDIA Triton for inference
TensorRT for optimized deployment
NGC for pretrained models
Hugging Face for model sharing

Helpful Resources

Official Docs GitHub Repo Tutorials