NVIDIA Launches AI Foundation Models for RTX AI PCs
NVIDIA has announced foundation models for RTX AI PCs, introducing NVIDIA NIM microservices and AI Blueprints. The new GeForce RTX 50 Series GPUs feature up to 3,352 trillion operations per second of AI performance and 32GB of VRAM, with FP4 compute support that doubles AI inference performance compared to previous generations.
The company will release NIM microservices for RTX AI PCs from developers including Black Forest Labs, Meta, Mistral, and Stability AI. These services support various AI applications including language models, image generation, and computer vision. NVIDIA also unveiled Project R2X, a vision-enabled PC avatar, and introduced AI Blueprints for tasks like podcast creation from PDFs and 3D-guided image generation.
NIM microservices and AI Blueprints will be available from February, initially supporting GeForce RTX 50 Series, RTX 4090 and 4080, and RTX 6000 and 5000 professional GPUs. Major PC manufacturers including Acer, ASUS, Dell, and others will offer NIM-ready RTX AI PCs.
NVIDIA ha annunciato modelli fondamentali per PC RTX AI, presentando NVIDIA NIM microservizi e AI Blueprints. Le nuove GPU GeForce RTX 50 Series offrono fino a 3.352 trilioni di operazioni al secondo di prestazioni AI e 32GB di VRAM, con supporto per il calcolo FP4 che raddoppia le performance di inferenza AI rispetto alle generazioni precedenti.
L'azienda rilascer脿 microservizi NIM per PC RTX AI da sviluppatori come Black Forest Labs, Meta, Mistral e Stability AI. Questi servizi supportano varie applicazioni AI tra cui modelli linguistici, generazione di immagini e visione artificiale. NVIDIA ha anche svelato il Progetto R2X, un avatar per PC abilitato alla visione, e ha introdotto AI Blueprints per compiti come la creazione di podcast da PDF e generazione di immagini 3D guidate.
I microservizi NIM e gli AI Blueprints saranno disponibili da febbraio, inizialmente supportando le GeForce RTX 50 Series, RTX 4090 e 4080, e le GPU professionali RTX 6000 e 5000. I principali produttori di PC, tra cui Acer, ASUS, Dell e altri, offriranno PC RTX AI pronti per NIM.
NVIDIA ha anunciado modelos fundamentales para PCs RTX AI, presentando NVIDIA NIM microservicios y AI Blueprints. Las nuevas GPU GeForce RTX 50 Series cuentan con hasta 3.352 billones de operaciones por segundo de rendimiento AI y 32GB de VRAM, con soporte de c贸mputo FP4 que duplica el rendimiento de inferencia AI en comparaci贸n con generaciones anteriores.
La compa帽铆a lanzar谩 microservicios NIM para PCs RTX AI de desarrolladores como Black Forest Labs, Meta, Mistral y Stability AI. Estos servicios respaldan diversas aplicaciones de IA, incluidos modelos de lenguaje, generaci贸n de im谩genes y visi贸n por computadora. NVIDIA tambi茅n revel贸 el Proyecto R2X, un avatar de PC habilitado para visi贸n, e introdujo AI Blueprints para tareas como la creaci贸n de podcasts a partir de PDFs y generaci贸n de im谩genes en 3D guiadas.
Los microservicios NIM y los AI Blueprints estar谩n disponibles a partir de febrero, apoyando inicialmente las GeForce RTX 50 Series, RTX 4090 y 4080, y las GPU profesionales RTX 6000 y 5000. Principales fabricantes de PC, incluidos Acer, ASUS, Dell y otros, ofrecer谩n PCs RTX AI listos para NIM.
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NVIDIA a annonc茅 des mod猫les fondamentaux pour les PC RTX AI, pr茅sentant les NVIDIA NIM microservices et AI Blueprints. Les nouvelles GPU GeForce RTX 50 Series atteignent jusqu'脿 3 352 trillions d'op茅rations par seconde de performance AI et 32 Go de VRAM, avec un support de calcul FP4 qui double les performances d'inf茅rence AI par rapport aux g茅n茅rations pr茅c茅dentes.
La soci茅t茅 lancera des microservices NIM pour les PC RTX AI d茅velopp茅s par des entreprises telles que Black Forest Labs, Meta, Mistral et Stability AI. Ces services prennent en charge diverses applications AI, notamment les mod猫les linguistiques, la g茅n茅ration d'images et la vision par ordinateur. NVIDIA a 茅galement d茅voil茅 le Project R2X, un avatar PC avec capacit茅s de vision, et a pr茅sent茅 les AI Blueprints pour des t芒ches telles que la cr茅ation de podcasts 脿 partir de fichiers PDF et la g茅n茅ration d'images 3D guid茅es.
Les microservices NIM et les AI Blueprints seront disponibles 脿 partir de f茅vrier, en prenant en charge initialement les GeForce RTX 50 Series, RTX 4090 et 4080, ainsi que les GPU professionnels RTX 6000 et 5000. Les principaux fabricants de PC, y compris Acer, ASUS, Dell et d'autres, proposeront des PC RTX AI pr锚ts pour NIM.
NVIDIA hat grundlegende Modelle f眉r RTX AI-PCs angek眉ndigt und NVIDIA NIM Mikroservices sowie AI Blueprints vorgestellt. Die neuen GeForce RTX 50 Series GPUs bieten bis zu 3,352 Billionen Operationen pro Sekunde an AI-Leistung und 32GB VRAM, mit FP4-Compute-Unterst眉tzung, die die AI-Inferenzleistung im Vergleich zu fr眉heren Generationen verdoppelt.
Das Unternehmen wird NIM-Mikroservices f眉r RTX AI-PCs von Entwicklern wie Black Forest Labs, Meta, Mistral und Stability AI bereitstellen. Diese Dienste unterst眉tzen verschiedene AI-Anwendungen, darunter Sprachmodelle, Bildgenerierung und Computer Vision. NVIDIA stellte auch das Projekt R2X vor, einen visionf盲higen PC-Avatar, und f眉hrte AI Blueprints f眉r Aufgaben wie die Erstellung von Podcasts aus PDFs und die 3D-gesteuerte Bildgenerierung ein.
NIM-Mikroservices und AI Blueprints werden ab Februar verf眉gbar sein, zun盲chst f眉r die GeForce RTX 50 Series, RTX 4090 und 4080 sowie die professionellen GPUs RTX 6000 und 5000. Gro脽e PC-Hersteller, darunter Acer, ASUS, Dell und andere, werden NIM-f盲hige RTX AI-PCs anbieten.
- New RTX 50 Series GPUs deliver 3,352 trillion operations per second of AI performance
- FP4 compute support doubles AI inference performance vs previous generation
- Partnerships with major AI model developers (Meta, Mistral, Stability AI)
- Wide adoption from major PC manufacturers for NIM-ready RTX AI PCs
- initial hardware support for NIM microservices
- Requires Windows Subsystem for Linux (WSL) for operation
Insights
NVIDIA's launch of NIM microservices represents a paradigm shift in consumer AI computing. The new RTX 50 Series GPUs' FP4 compute capability and 32GB VRAM configuration marks a 2x improvement in AI inference performance, enabling complex AI models to run locally with smaller memory footprints. This positions NVIDIA to dominate the emerging AI PC market.
The strategic integration with Windows 11 and major PC manufacturers ensures widespread adoption, while partnerships with model developers like Meta and Mistral create a robust AI ecosystem. The 3,352 trillion operations per second processing capability is particularly impressive, as it brings data center-level AI performance to consumer devices.
Project R2X's neural rendering and Audio2Face-3D technology demonstrates NVIDIA's commitment to pushing AI visualization boundaries, while maintaining compatibility with major AI services like GPT4 and Grok indicates strong ecosystem integration potential.
This product launch strengthens NVIDIA's competitive moat in the AI hardware market. By creating an end-to-end ecosystem from hardware to software services, NVIDIA is effectively raising barriers to entry for competitors while increasing customer lock-in. The partnership with major PC manufacturers ensures broad market penetration and positions NVIDIA to capture significant market share in the emerging AI PC segment.
The timing is particularly strategic, coinciding with growing demand for local AI processing capabilities. The inclusion of industry-standard frameworks and compatibility with popular AI development tools suggests strong potential for developer adoption, which historically has been a key driver of NVIDIA's success.
This launch could significantly impact NVIDIA's revenue streams by creating new monetization opportunities through NIM microservices and expanding their GPU market share. The partnership with every major PC manufacturer suggests potential for substantial unit sales growth. The ability to run complex AI models locally addresses privacy concerns and could accelerate enterprise adoption.
The comprehensive ecosystem approach, combining hardware, software and services, positions NVIDIA to capture value across the entire AI computing stack. This vertical integration strategy has historically yielded higher margins and more sustainable revenue streams compared to pure hardware sales.
NVIDIA NIM Microservices and AI Blueprints Help Developers and Enthusiasts Build AI Agents and Creative Workflows on PC
LAS VEGAS, Jan. 06, 2025 (GLOBE NEWSWIRE) -- 颁贰厂听--聽NVIDIA today announced foundation models running locally on 聽that supercharge digital humans, content creation, productivity and development.聽
These models 鈥� offered as 聽microservices 鈥� are accelerated by new , which feature up to 3,352 trillion operations per second of AI performance and 32GB of VRAM. Built on the NVIDIA Blackwell architecture, RTX 50 Series are the first consumer GPUs to add support for FP4 compute, boosting AI inference performance by 2x and enabling generative AI models to run locally in a smaller memory footprint, compared with previous-generation hardware.
GeForce鈩� has long been a vital platform for AI developers. The first GPU-accelerated deep learning network, AlexNet, was trained on the GeForce GTX鈩� 580 in 2012 鈥� and last year, over
Now, with generative AI and RTX AI PCs, anyone can be a developer. A new wave of low-code and no-code tools, such as AnythingLLM, ComfyUI, Langflow and LM Studio, enable enthusiasts to use AI models in complex workflows via simple graphical user interfaces.
NIM microservices connected to these GUIs will make it effortless to access and deploy the latest generative AI models. , built on NIM microservices, provide easy-to-use, preconfigured reference workflows for digital humans, content creation and more.
To meet the growing demand from AI developers and enthusiasts, every top PC manufacturer and system builder is launching NIM-ready RTX AI PCs with GeForce RTX 50 Series GPUs.
鈥淎I is advancing at light speed, from perception AI to generative AI and now agentic AI,鈥� said Jensen Huang, founder and CEO of NVIDIA. 鈥淣IM microservices and AI Blueprints give PC developers and enthusiasts the building blocks to explore the magic of AI.鈥�
Making AI NIMble
Foundation models 鈥� neural networks trained on immense amounts of raw data 鈥� are the building blocks for generative AI.
NVIDIA will release a pipeline of NIM microservices for RTX AI PCs from top model developers such as Black Forest Labs, Meta, Mistral and Stability AI. Use cases span large language models (LLMs), vision language models, image generation, speech, embedding models for retrieval-augmented generation (RAG), PDF extraction and computer vision.
鈥淕eForce RTX 50 Series GPUs with FP4 compute will unlock a massive range of models that can run on PC, which were previously limited to large data centers,鈥� said Robin Rombach, CEO of Black Forest Labs. 鈥淢aking FLUX an NVIDIA NIM microservice increases the rate at which AI can be deployed and experienced by more users, while delivering incredible performance.鈥�
NVIDIA today also announced the family of open models that provide high accuracy on a wide range of agentic tasks. The Llama Nemotron Nano model will be offered as a NIM microservice for RTX AI PCs and workstations, and excels at agentic AI tasks like instruction following, function calling, chat, coding and math.
NIM microservices include the key components for running AI on PCs and are optimized for deployment across NVIDIA GPUs 鈥� whether in RTX PCs and workstations or in the cloud.
Developers and enthusiasts will be able to , set up and run these NIM microservices on Windows 11 PCs with Windows Subsystem for Linux (WSL).
鈥淎I is driving Windows 11 PC innovation at a rapid rate, and Windows Subsystem for Linux (WSL) offers a great cross-platform environment for AI development on Windows 11 alongside Windows Copilot Runtime,鈥� said Pavan Davuluri, corporate vice president of Windows at Microsoft. 鈥淣VIDIA NIM microservices, optimized for Windows PCs, give developers and enthusiasts ready-to-integrate AI models for their Windows apps, further accelerating deployment of AI capabilities to Windows users.鈥�
The NIM microservices, running on RTX AI PCs, will be compatible with top AI development and agent frameworks, including AI Toolkit for VSCode, AnythingLLM, ComfyUI, CrewAI, Flowise AI, LangChain, Langflow and LM Studio. Developers can connect applications and workflows built on these frameworks to AI models running NIM microservices through industry-standard endpoints, enabling them to use the latest technology with a unified interface across the cloud, data centers, workstations and PCs.
Enthusiasts will also be able to experience a range of NIM microservices using an upcoming release of the tech demo.
Putting a Face on Agentic AI
To demonstrate how enthusiasts and developers can use NIM to build AI agents and assistants, , a vision-enabled PC avatar that can put information at a user鈥檚 fingertips, assist with desktop apps and video conference calls, read and summarize documents, and more.
The avatar is rendered using , a new generative AI algorithm that augments traditional rasterization with entirely generated pixels. The face is then animated by a new diffusion-based 聽model that improves lip and tongue movement. R2X can be connected to cloud AI services such as OpenAI鈥檚 GPT4o and xAI鈥檚 Grok, and NIM microservices and AI Blueprints, such as PDF retrievers or alternative LLMs, via developer frameworks such as CrewAI, Flowise AI and Langflow. for Project R2X updates.
AI Blueprints Coming to PC
NIM microservices are also available to PC users through AI Blueprints 鈥� reference AI workflows that can run locally on RTX PCs. With these blueprints, developers can create podcasts from PDF documents, generate stunning images guided by 3D scenes and more.
The blueprint for PDF to podcast extracts text, images and tables from a PDF to create a podcast script that can be edited by users. It can also generate a full audio recording from the script using voices available in the blueprint or based on a user鈥檚 voice sample. In addition, users can have a real-time conversation with the AI podcast host to learn more about specific topics.
The blueprint uses NIM microservices like Mistral-Nemo-12B-Instruct for language, NVIDIA Riva for text-to-speech and automatic speech recognition, and the NeMo Retriever collection of microservices for PDF extraction.
罢丑别听 gives artists finer control over image generation. While AI can generate amazing images from simple text prompts, controlling image composition using only words can be challenging. With this blueprint, creators can use simple 3D objects laid out in a 3D renderer like Blender to guide AI image generation. The artist can create 3D assets by hand or generate them using AI, place them in the scene and set the 3D viewport camera. Then, a prepackaged workflow powered by the FLUX NIM microservice will use the current composition to generate high-quality images that match the 3D scene.
NVIDIA NIM microservices and AI Blueprints will be available starting in February with initial hardware support for GeForce RTX 50 Series, GeForce RTX 4090 and 4080, and NVIDIA RTX 6000 and 5000 professional GPUs. Additional GPUs will be supported in the future.
NIM-ready RTX AI PCs will be available from Acer, ASUS, Dell, GIGABYTE, HP, Lenovo, MSI, Razer and Samsung, and from local system builders Corsair, Falcon Northwest, LDLC, Maingear, Mifcon, Origin PC, PCS and Scan.
Learn more about how NIM microservices, AI Blueprints and NIM-ready RTX AI PCs are accelerating generative AI by joining .
About NVIDIA
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For further information, contact:
Jordan Dodge
NVIDIA Corporation
+1-408-566-6792
jdodge@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, and availability of our products, services, and technologies, including NVIDIA RTX AI PCs, GeForce RTX 50 Series GPUs, NVIDIA Blackwell architecture, GeForce GTX 580, Project R2X, NVIDIA ACE and NIM microservices, NVIDIA AI Blueprints, NVIDIA Grace Blackwell platform, Llama Nemotron, NVIDIA ChatRTX, NVIDIA RTX Neural Faces, NVIDIA Audio2Face-3D model, Mistral-Nemo-12B-Instruct for language, NVIDIA Riva, NeMo Retriever, FLUX NIM microservice, GeForce RTX 4090 and 4080, and NVIDIA RTX 6000 and 5000 professional GPUs third parties using or adopting NVIDIA鈥檚 products and technologies, and the benefits and impact thereof; and AI advancing at light speed, from perception AI to generative AI and now agentic AI are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features, or functions set forth herein.
漏 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA, the NVIDIA logo, Audio2Face, GeForce, GeForce GTX, GeForce RTX, NVIDIA NIM and NVIDIA RTX are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.
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FAQ
When will NVIDIA NIM microservices and AI Blueprints be available for RTX AI PCs?
What performance improvements do the new RTX 50 Series GPUs offer for AI tasks?
Which GPU models will support NVIDIA NIM microservices initially?
What companies are partnering with NVIDIA for NIM microservices?
What features does Project R2X offer for RTX AI PC users?
