Codify Intelligence with Large Language Models

Large language models (LLMs) represent a major advancement in AI, with the promise of transforming domains through learned knowledge. LLM sizes have been increasing 10X every year for the last few years, and as these models grow in complexity and size, so do their capabilities.

Yet, LLMs are hard to develop and maintain, making LLMs inaccessible to most enterprises.

Text Generation

for marketing copy and storyline creation.


for news and email. 

Image Generation

for brand creation and gaming characters. 


for intelligent Q&A and real-time  customer support. 


for dynamic commenting and function generation.


for languages and Wikipedia. 

Explore NVIDIA NeMo LLM Service

Explore NVIDIA NeMo LLM Service

Unlock the power of large language models for enterprise AI.

NeMo LLM service running on the NVIDIA AI platform provides enterprises the fastest path to customizing and deploying LLMs on private and public clouds or accessing them through the API service.

Try one of the world’s most powerful language models.

NeMo LLM service exposes the NVIDIA Megatron 530B model as a cloud API. Try the capabilities of the 530B model through either the Playground or through representational state transfer (REST) APIs.


Take a closer look at NVIDIA NeMo Megatron.

NeMo Megatron is an end-to-end framework for training and deploying LLMs with billions or trillions of parameters.

The containerized framework delivers high training efficiency across thousands of GPUs and makes it practical for enterprises to build and deploy large-scale models. It provides capabilities to curate training data, train large-scale models up to trillions of parameters, customize using prompt learning, and deploy using the NVIDIA Triton™ Inference Server to run large-scale models on multiple GPUs and multiple nodes.

NeMo Megaton is optimized to run on NVIDIA DGX™ Foundry, NVIDIA DGX SuperPOD™,  Amazon Web Services, Microsoft Azure, and Oracle Cloud Infrastructure.

Power LLM inference with NVIDIA Triton.

Data scientists and engineers are starting to push the boundaries of what’s possible with large language models. NVIDIA Triton™ Inference Server is an open-source inference serving software that can be used to deploy, run, and scale LLMs. It supports multi-GPU, multi-node inference for large language models using a FasterTransformer backend. Triton uses tensor and pipeline parallelism and Message Passing Interface (MPI) and the NVIDIA Collective Communication Library (NCCL) for distributed high-performance inference and supports GPT, T5, and other LLMs. LLM inference functionality is in beta.  


Expand drug discovery research with NVIDIA BioNeMo.

BioNeMo is an AI-powered drug discovery cloud service and framework built on NVIDIA NeMo Megatron for training and deploying large biomolecular transformer AI models at supercomputing scale. The service includes pretrained LLMs and native support for common file formats for proteins, DNA, RNA, and chemistry, providing data loaders for SMILES for molecular structures and FASTA for amino acid and nucleotide sequences. The BioNeMo framework will also be available for download for running on your own infrastructure.

Find more resources

Learn how NVIDIA Triton can simplify AI deployment at scale.

Join the community.

Stay current on the latest NVIDIA Triton Inference Server and NVIDIA® TensorRT™ product updates, content, news, and more.

Explore the latest NVIDIA Triton on-demand sessions.

Watch GTC sessions on-demand

Check out the latest on-demand sessions on LLMs from NVIDIA GTCs.

Deploy AI deep learning models.

Read the inference whitepaper.

Read about the evolving inference-usage landscape, considerations for optimal inference, and the NVIDIA AI platform.

Stay up to date on LLM news

The Conference for the Era of AI and the Metaverse

Developer Conference March 20-23 | Keynote March 21

Don't miss these three upcoming large language models sessions at GTC.

How to Efficiently Build and Deploy Large Language Models

Developing large language models (LLMs) requires deep technical expertise and massive amounts of compute, making them inaccessible for most. However, NeMo Megatron changes that, expanding access by providing a framework for end-to-end training and deployment for LLMs. Practitioners can now build and deploy LLMs faster across workloads and modalities such as content generation, summarization, chatbots, drug discovery, marketing content generation, code generation, and more. We'll highlight the latest advancements on NeMo Megatron to develop custom LLMs with hundreds of billions of parameters. We'll present the capabilities that offer the quickest, most efficient, simplest, and fully-customizable path to building an LLM model — from data preprocessing to efficient training across thousands of GPUs to production deployment on preferred infrastructure.

Taming LLMs with the Latest Customization Techniques

The large language model (LLM) leverages a vast amount of text data to store world knowledge within its neural network weights. Despite its potential, zero- or few-shot learning in a specific context is often unsatisfactory. We'll present techniques utilized in NeMo to bridge the gap between the capabilities of LLMs and their effective application to new tasks. We'll focus on parameter-efficient fine-tuning methods, including P-tuning, IA3, adapters, and universal prompt tuning, making LLM customization easy and effective.

Data-Driven Approaches to Language Diversity

Join a cross-disciplinary panel of experts to learn about approaches to measuring and improving language diversity in our AI datasets. We'll cover how building and testing across a representative diversity of languages will not only make conversational AI technology accessible to more communities, but can in turn support global language diversity as well as accelerate technical advances in conversational AI.

Try NVIDIA NeMo LLM Service today.