NVIDIA NeMo
A comprehensive software suite to build, monitor, and optimize AI agents across their lifecycle at enterprise scale.
Overview
What Is NVIDIA NeMo?
NVIDIA NeMo™ is a modular software suite for managing the AI agent lifecycle. It provides microservices and toolkits for data processing, model fine-tuning and evaluation, reinforcement learning, policy enforcement, and system observability. NeMo helps enterprises build, monitor, and optimize agentic AI systems at scale, on any GPU-accelerated infrastructure. It integrates with existing AI platforms and supports cloud, on-premises, and hybrid deployment, enabling enterprises to rapidly manage and effortlessly create data flywheels that continuously optimize AI agents.
Benefits
Explore the Benefits of NVIDIA NeMo for Agentic AI
Modular AI Agent Lifecycle Management
Manage the AI agent lifecycle—from data curation, customization, and evaluation to guardrailing, observability, and optimization—with an enterprise-ready, interoperable software suite.
Seamless Deployment and Scaling
Easily build data flywheels that use enterprise data to improve AI agents, powering the entire flywheel with a simple Helm chart deployment or API calls for various parts of the workflow.
Increased ROI
Quickly train, customize, and deploy large language models (LLMs), vision-language models (VLMs), video AI, and speech AI at scale, reducing time to solution and increasing ROI.
Accelerated Performance
Maximize AI agent performance and throughput with GPU-accelerated optimization, multi-node scaling, and tuning for cost-efficient training, deployment, and continuous improvement.
Safer Agentic AI
Build safer agentic AI systems by vetting models, guardrailing prompts, and continuously scanning for vulnerabilities.
Production Ready
Deploy into production with a secure, optimized, full-stack solution that offers support, security, and API stability as part of NVIDIA AI Enterprise.
Build, monitor, and optimize AI agents anywhere—from the cloud and data center to the edge.
Features
Tools for Managing the AI Agent Lifecycle
The AI agent lifecycle is an end-to-end process for developing and improving AI agents in production applications. NVIDIA NeMo provides tools that enable each step of this workflow, so enterprises can build powerful, secure, and continuously learning agents.
| Build | |
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| Prepare AI-ready data Process existing multimodal datasets into high-quality, AI-ready formats for development pipelines, and generate synthetic data to close critical data gaps. |
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| Select the right model Pick or build models suited to the use case, validate with academic benchmarks, run custom evaluations, and fine-tune if needed. |
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| Build your AI agent Turn your custom model into a scalable application, seamlessly connect it to your enterprise stack and tools, and define workflows with flexible orchestration. |
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| Deploy | |
| Deploy your agent with maximum performance Optimize your agent for production with high-throughput, low-latency inference, ensuring it can scale to meet enterprise demands and deliver fast, reliable responses. |
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| Stay grounded in data and enforce guardrails Use retrieval-augmented generation (RAG) to anchor agent responses in trusted knowledge while applying safety, compliance, and content moderation guardrails. |
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| Optimize | |
| Monitor and collect feedback Track the agent's real-world interactions with users and other systems. Systematically evaluate its performance and accuracy, finding opportunities to continuously improve. |
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| Continuously improve with data flywheels Use the feedback and data gathered from monitoring to create a data-driven flywheel, iteratively retraining the agent to continuously optimize and stay effective over time. |
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Use Cases
How NeMo Is Being Used
See how NVIDIA NeMo supports industry use cases and jump-starts your AI development.
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AI Agents
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SDG for Agentic AI
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AI Assistant
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Information Retrieval
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Content Generation
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Humanoid Robot
AI Agents
AI agents are transforming customer service across sectors, helping companies enhance customer conversations, achieve high resolution rates, and improve human representative productivity. AI agents can handle predictive tasks, reason and problem-solve, be trained to understand industry-specific terms, and pull relevant information from an organization’s knowledge bases, wherever that data resides.
Synthetic Data Generation for Agentic AI
Specialized agentic systems need massive, high-quality datasets that are slow and expensive to collect from real-world sources. Synthetic data created through simulations or generative AI models can eliminate this bottleneck by creating unlimited training scenarios without privacy restrictions or quality issues. This enables faster development of reasoning LLMs, multi-step decision-makers, and multimodal AI assistants.
AI Assistant
Businesses are deploying AI assistants to efficiently address the queries of millions of customers and employees around the clock. Powered by customized NVIDIA NIM microservices for LLMs, RAG, and speech and translation AI, these AI teammates deliver immediate and accurate spoken responses, even in the presence of background noise, poor sound quality, and diverse dialects and accents.
Information Retrieval
Trillions of PDF files are generated every year, each file likely consisting of multiple pages filled with various content types, including text, images, charts, and tables. This goldmine of data can only be used as quickly as humans can read and understand it. But with generative AI and RAG, this untapped data can be used to uncover business insights that can help employees work more efficiently and result in lower costs.
Content Generation
Generative AI makes it possible to generate highly relevant, bespoke, and accurate content grounded in the domain expertise and proprietary IP of your enterprise.
Humanoid Robot
Humanoid robots are built to adapt quickly to existing human-centric urban and industrial work spaces, tackling tedious, repetitive, or physically demanding tasks. Their versatility has them in such varied locations as factory floors to healthcare facilities, where these robots are assisting humans and helping alleviate labor shortages with automation.
Apptronik
Starting Options
Ways to Get Started With NVIDIA NeMo
Manage the AI agent lifecycle with tools and technologies for building, monitoring, and optimizing AI agents in production.
Customer Stories
How Industry Leaders Are Driving Innovation With NeMo
Adopters
Leading Adopters Across All Industries
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Customers
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Partners
Resources
The Latest in NVIDIA NeMo Resources
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Blogs
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Sessions
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Training
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Videos
Next Steps
Ready to Get Started?
Use the right tools and technologies to take your agentic AI applications from development to production.
For Developers
Explore everything you need to start developing with NVIDIA NeMo, including the latest documentation, tutorials, technical blogs, and more.
Get in Touch
Talk to an NVIDIA product specialist about moving from pilot to production with the assurance of security, API stability, and support that comes with NVIDIA AI Enterprise.