NVIDIA NeMo™ is an end-to-end platform for developing custom generative AI—including large language models (LLMs), vision language models (VLMs), video models, and speech AI—anywhere.
Deliver enterprise-ready models with precise data curation, cutting-edge customization, retrieval-augmented generation (RAG), and accelerated performance with NeMo, part of NVIDIA AI Foundry—a platform and service for building custom generative AI models with enterprise data and domain-specific knowledge.
Get Started With NVIDIA Cosmos for Advancing Physical AI
Explore how to get started with NVIDIA Cosmos™, a platform comprising state-of-the-art generative world foundation models, advanced tokenizers, guardrails, and an accelerated video processing pipeline built to accelerate the development of physical AI systems.
Get on the fast-track to enterprise transformation with generative AI. This series of on-demand webinars offers a roadmap to accelerated development and deployment, offering the knowledge you need to take full advantage of this breakthrough technology.
Maximize throughput and minimize training time with multi-node, multi-GPU training and inference.
End-to-End Pipeline
Experience the benefits of a complete generative AI pipeline—from data processing and training to inference and guardrails of AI models.
Superior Visual Generation
State-of-the-art reconstruction quality using Cosmos tokenizer across a wide spectrum of image and video categories.
Features
The Complete Solution for Building Enterprise-Ready Generative AI Models
NeMo Curator
Accelerate Data Curation
NVIDIA NeMo Curator improves generative AI model accuracy by processing text, image, and video data at scale. It also provides pre-built pipelines for generating synthetic data to customize and evaluate generative AI systems.
With NeMo Curator, you can accelerate video processing from years to days, compared to alternatives.
NVIDIA Cosmos tokenizers are open models designed to simplify the development and customization of VLMs and video AI models. They offer high-quality compression and fast, excellent visual reconstruction, lowering TCO during model development and deployments.
NVIDIA NeMo Customizer is a high-performance, scalable microservice that simplifies fine-tuning and alignment of LLMs for domain-specific use cases, making it easier to adopt generative AI across industries.
NVIDIA NeMo Guardrails is a scalable rail orchestration platform for ensuring the security, safety, accuracy, and topical relevance of LLM interactions.
NVIDIA NIM, part of NVIDIA AI Enterprise, is a set of easy-to-use microservices designed for secure, reliable deployment of high-performance AI model inferencing across clouds, data centers, and workstations.
See how NVIDIA NeMo supports industry use cases and jump-starts your AI development.
AI Chatbots
AI Assistant
PDF Data Extraction
Content Generation
Humanoid Robot
AI Chatbots
Organizations are looking to build smarter AI chatbots using custom LLMs and retrieval-augmented generation (RAG). With RAG, chatbots can accurately answer domain-specific questions by retrieving current information from an organization’s knowledge base and providing real-time responses in natural language. These chatbots can be used to enhance customer support, personalize AI avatars, manage enterprise knowledge, streamline employee onboarding, provide intelligent IT support, create content, and more.
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.
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.
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 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.
Use the right tools and technologies to take generative AI models from development to production.
Try
Start prototyping with leading NVIDIA-built and open-source generative AI models that can be deployed using NVIDIA NIM™ microservices and customized with NeMo.
Access NVIDIA-hosted infrastructure and guided hands-on labs that include step-by-step instructions and examples, available for free on NVIDIA LaunchPad.
Jump-start building your generative AI solutions with NVIDIA Blueprints, customizable reference applications, available for free on the NVIDIA API catalog.
Dropbox plans to leverage NVIDIA’s AI foundry to build custom models and improve AI-powered knowledge work with the Dropbox Dash universal search tool and Dropbox AI.
Enhance Model Performance for AI-Powered Search Engines
Using NVIDIA NeMo, Perplexity aims to quickly customize frontier models to improve the accuracy and quality of search results and optimize them for lower latency and high throughput for a better user experience.
Editor’s note: This article, originally published on March 13, 2023, has been updated. The mics were live and tape was rolling in the studio where the Miles Davis Quintet was recording dozens of tunes in 1956 for Prestige Records. When an engineer asked for the next song’s title, Davis shot back, “I’ll play it, and
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AI reasoning models and agents are set to transform industries, but delivering their full potential at scale requires massive compute and optimized software. The “reasoning” process involves multiple models, generating many additional tokens, and demands infrastructure with a combination of high-speed communication, memory and compute to ensure real-time, high-quality results. To meet this demand, CoreWeave
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Editor’s note: This article, originally published on Nov. 15, 2023, has been updated. To understand the latest advancements in generative AI, imagine a courtroom. Judges hear and decide cases based on their general understanding of the law. Sometimes a case — like a malpractice suit or a labor dispute — requires special expertise, so judges
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Take advantage of our comprehensive LLM learning path, covering fundamental to advanced topics featuring hands-on training developed and delivered by NVIDIA experts. You can opt for the flexibility of self-paced courses or enroll in instructor-led workshops to earn a certificate of competency.
Showcase your Generative AI skills and advance your career by getting certified by NVIDIA. Our new professional certification program offers two developer exams focusing on proficiency in large language models (LLMs) and multimodal workflow skills.
Enterprises are turning to generative AI to revolutionize the way they innovate, optimize operations, and build a competitive advantage. NeMo is an end-to-end platform for curating data; training, customizing, and evaluating multimodal models; and running inference at scale. It supports text, image, video, and speech generation.
Unlocking Synthetic Data Generation with Llama 3.1
Learn how to use the Meta Llama 3.1 405B model to generate tailored synthetic data for your specific domain and explore how to evaluate this data using the Nemotron-4 340B Reward model and ensure alignment with human preferences through NVIDIA NeMo.
Build World-Class AI Virtual Assistants for Customer Service with RAG
Learn how companies can use the AI virtual assistant for customer service NVIDIA AI Blueprint to improve the operational efficiency of existing contact center solutions or build new customer service-centric systems.
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.
AI Sweden facilitated regional language model applications by providing easy access to a powerful 100 billion-parameter model. They digitized historical records to develop language models for commercial use.
NVIDIA Powers Training for Some of the Largest Amazon Titan Foundation Models
Amazon leveraged the NVIDIA NeMo framework, GPUs, and AWS EFAs to train its next-generation LLM, giving some of the largest Amazon Titan foundation models customers a faster, more accessible solution for generative AI.
ServiceNow, NVIDIA, and Accenture announced the launch of AI Lighthouse, a first-of-its-kind program designed to fast-track the development and adoption of enterprise generative AI capabilities.
Bria Builds Responsible Generative AI for Enterprises Using NVIDIA NeMo, Picasso
Bria, a startup based in Tel Aviv, is helping businesses who are seeking responsible ways to integrate visual generative AI technology into their enterprise products with a generative AI service that emphasizes model transparency alongside fair attribution and copyright protections.
Cohesity
Unlock Your Data Superpower: NVIDIA Microservices Unleash Enterprise-Grade Secure Generative AI for Cohesity
With NVIDIA NIM and optimized models, Cohesity DataProtect customers can add generative AI intelligence to data backups and archives. This allows Cohesity and NVIDIA to bring the power of generative AI to all Cohesity DataProtect customers. Leveraging the power of NIM and NVIDIA optimized models, Cohesity DataProtect customers obtain the power of data-driven insights from their data backups and archives, unleashing new levels of efficiency, innovation, and growth.
Shaping the Future of AI in the Cybersecurity Domain
CrowdStrike and NVIDIA are leveraging accelerated computing and generative AI to provide customers with an innovative range of AI-powered solutions tailored to efficiently address security threats.
Dell Validated Design for Generative AI With NVIDIA
Dell Technologies and NVIDIA announced an initiative to make it easier for businesses to build and use generative AI models on premises quickly and securely.
Unlock the Value of Generative AI Across Enterprise Software Platforms
Deloitte will use NVIDIA AI technology and expertise to build high-performing generative AI solutions for enterprise software platforms to help unlock significant business value.
Domino Offers Production-Ready Generative AI Powered by NVIDIA
With NVIDIA NeMo, data scientists can fine-tune LLMs in Domino’s platform for domain-specific use cases based on proprietary data and IP—without needing to start from scratch.
Dropbox and NVIDIA to Bring Personalized Generative AI to Millions of Customers
Dropbox plans to leverage NVIDIA’s AI foundry to build custom models and improve AI-powered knowledge work with Dropbox Dash universal search tool and Dropbox AI.
AI Titans Collaborate to Create Generative AI Magic
At its Next conference, Google Cloud announced the availability of its A3 instances powered by NVIDIA H100 Tensor Core GPUs. Engineering teams from both companies have collaborated to bring NVIDIA NeMo to the A3 instances for faster training and inference.
Leading AI Community to Accelerate Data Curation Pipeline
Hugging Face, the leading open platform for AI builders, is collaborating with NVIDIA to integrate NeMo Curator and accelerate DataTrove, their data filtering and deduplication library. “We are excited about the GPU acceleration capabilities of NeMo Curator and can’t wait to see them contributed to DataTrove!” says Jeff Boudier, Product Director at Hugging Face.
KT
Creating New Customer Experiences With LLMs
South Korea’s leading mobile operator builds billion-parameter LLMs trained with the NVIDIA DGX SuperPOD platform and NeMo framework to power smart speakers and customer call centers.
New Reference Architecture for Generative AI Based on LLMs
Solution to expedite innovation by empowering global partners and customers to develop, train, and deploy AI at scale across industry verticals with utmost safety and efficiency.
Enabling Enterprises to Fast-Track Their AI-Driven Journeys
Quantiphi specializes in training and fine-tuning foundation models using the NVIDIA NeMo framework, as well as optimizing deployments at scale with the NVIDIA AI Enterprise software platform, while adhering to responsible AI principles.
SAP and NVIDIA Accelerate Generative AI Adoption Across Enterprise Applications Powering Global Industries
Customers can harness their business data in cloud solutions from SAP using customized LLMs deployed with NVIDIA AI foundry services and NVIDIA NIM Microservices.
ServiceNow develops custom LLMs on its ServiceNow platform to enable intelligent workflow automation and boost productivity across enterprise IT processes.
Enhance Model Performance for AI-Powered Search Engines
Using NVIDIA NeMo, Perplexity aims to quickly customize frontier models to improve the accuracy and quality of search results and optimize them for lower latency and high throughput for a better user experience.
VMware and NVIDIA Unlock Generative AI for Enterprises
VMware Private AI Foundation with NVIDIA will enable enterprises to customize models and run generative AI applications, including intelligent chatbots, assistants, search, and summarization.
Weights & Biases helps teams working on generative AI use cases or with LLMs track and visualize all prompt-engineering experiments—helping users debug and optimize LLM pipelines—as well as provides monitoring and observability capabilities for LLMs.
Startup Pens Generative AI Success Story With NVIDIA NeMo
Using NVIDIA NeMo, Writer is building LLMs that are helping hundreds of companies create custom content for enterprise use cases across marketing, training, support, and more.
