NVIDIA Launches NIM Microservices to Enhance Workflow Efficiency for RTX AI Systems

CES Las Vegas

Unlocking the Future with Generative AI

Generative AI is shaking things up for PCs and workstations in ways we never thought possible. Imagine having game assistants, innovative content-creation tools, and productivity boosters—all at your fingertips. nVidia is stepping up to the plate with its latest products, including NIM microservices, which are available right now, and AI Blueprints, set to launch in just a few weeks. These tools are designed to supercharge AI development and make it more accessible than ever.

First launched at CES earlier this year, NVIDIA NIM brings prepackaged, AI models tailored for the NVIDIA RTX platform. This includes everything from the powerful NVIDIA Geforce RTX 50 Series to the latest NVIDIA Blackwell RTX PRO GPUs. The beauty of these microservices? They’re straightforward to download and run, covering all the essential modalities for PC development. Plus, they play nicely with top ecosystem applications and tools.

Meet the System Assistant

But wait, there’s more! Today also marks the release of the experimental System Assistant feature from Project G-Assist. This feature demonstrates how AI assistants can elevate apps and games. With the System Assistant, you can run real-time diagnostics, receive performance optimization tips, or even control your system software and peripherals—all through simple voice or text commands. Sounds like magic, right? Developers and enthusiasts can further extend its capabilities using a user-friendly plug-in architecture and a brand-new plug-in builder.

As we stand on the cusp of a computing revolution—where AI models and a vibrant developer community are propelling an explosion of AI-powered tools—NIM microservices, AI Blueprints, and G-Assist are leading the charge in bringing these innovations to everyday PCs.

The Challenge of AI Adoption

Sure, the pace of AI innovation is exhilarating, but let’s be real: diving into this tech can feel daunting for many in the PC developer community. Transitioning AI models from research to practical applications involves a lot of behind-the-scenes work—like curating model variants, managing input and output data, and optimizing resource usage. It can be a real slog, which often slows down the adoption of AI.

Enter NVIDIA NIM microservices! These nifty tools provide prepackaged, optimized AI models that connect seamlessly to industry-standard APIs. They’re designed for peak performance on RTX AI PCs and workstations, featuring top-tier models from both the community and NVIDIA itself.

Diverse Applications at Your Fingertips

What can you do with NIM microservices? The possibilities are vast! These microservices support various AI applications, including large language models (LLMs), vision-language models, image generation, speech processing, and more. For those eager to get started, here are some of the standout options available:

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Language and Reasoning:

Deepseek-R1-distill-llama-8B, Mistral-nemo-12B-instruct, Llama3.1-8B-instruct
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Image Generation:

Flux.dev
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Audio:

Riva Parakeet-ctc-0.6B-asr, Maxine Studio Voice
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RAG:

Llama-3.2-NV-EmbedQA-1B-v2
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Computer Vision and Understanding:

NV-CLIP, PaddleOCR, Yolo-X-v1

And guess what? These microservices are also integrated into popular AI ecosystem tools and frameworks. For example, AnythingLLM and ChatRTX now support NIM, making it a breeze to chat with LLMs and AI agents through an intuitive interface. You can create personalized AI assistants and even integrate your documents and data to automate tasks and boost productivity.

AI Blueprints: Your Shortcut to Success

Now, let’s talk about NVIDIA AI Blueprints. These are game-changers for AI developers looking to build generative AI workflows using NVIDIA NIM microservices. Think of Blueprints as ready-to-use, extensible reference samples that come with everything you need—source code, sample data, documentation, and a demo app. You can easily modify and extend them to suit your needs, whether that means tweaking behavior, using different models, or adding entirely new functionalities.

For instance, there’s a PDF to podcast AI Blueprint that transforms documents into engaging audio content, perfect for learning on the go. Plus, an AI Blueprint for 3D-guided generative AI gives artists more control over image creation. Instead of relying solely on text prompts, creators can use simple 3D objects in a renderer like Blender to guide AI image generation. It’s a fantastic way to blend creativity with technology.

The Power of Windows Subsystem for Linux

One of the key technologies making all this possible is the Windows Subsystem for Linux (WSL). Thanks to a collaboration between Microsoft and NVIDIA, CUDA and RTX acceleration are now integrated into WSL. This means you can run optimized, containerized microservices on Windows, allowing the same NIM microservice to operate across various platforms—from PCs and workstations to data centers and the cloud.

Ready to dive in? Visit build.nvidia.com to get started with NVIDIA NIM on your RTX AI PC.

Project G-Assist: Your New Best Friend

As part of Project G-Assist, the System Assistant feature for GeForce RTX desktop users is now available through the NVIDIA App, with laptop support on the horizon. G-Assist simplifies the control of a wide array of PC settings—think optimizing game settings, tracking frame rates, and adjusting peripheral settings—using basic voice or text commands.

What’s cool is that G-Assist runs locally on your GeForce RTX GPU, making it fast and responsive without needing an internet connection. Manufacturers are already leveraging NVIDIA’s AI technology suite, ACE, to create custom AI assistants like G-Assist, including MSI’s AI Robot engine and the Streamlabs Intelligent AI Assistant.

But G-Assist isn’t just a one-size-fits-all solution. It’s designed for community-driven expansion. You can check out NVIDIA’s GitHub repository for samples and instructions on creating plug-ins that add new functionality. Developers can define functions in simple JSON formats and integrate them seamlessly into G-Assist.

Currently available sample plug-ins include Spotify for hands-free music control and Google Gemini for enhanced AI interactions. Imagine asking G-Assist for advice on which legend to pick in Apex Legends or whether to jump into Nightmare mode in Diablo IV—all in real-time!

Build, Create, Innovate

NVIDIA NIM microservices for RTX are your gateway to powerful, ready-to-use tools for building AI applications. You can download Project G-Assist through the NVIDIA App, which currently supports GeForce RTX desktop GPUs and a variety of voice and text commands in English. Future updates will expand support to RTX Laptop GPUs and introduce new features and languages.

Excited to learn more? Each week, the RTX AI Garage showcases community-driven AI innovations and content, helping you explore NIM microservices, AI Blueprints, and the art of building AI agents, creative workflows, and productivity apps on AI PCs and workstations.

So, are you ready to jump into the future of AI? Let’s build, create, and innovate together!

Background Information

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About Google:

Google, founded by Larry Page and Sergey Brin in 1998, is a multinational technology company known for its internet-related services and products. Initially for its search engine, Google has since expanded into various domains including online advertising, cloud computing, software development, and hardware devices. With its innovative approach, Google has introduced influential products such as Google Search, Android OS, Google Maps, and Google Drive. The company's commitment to research and development has led to advancements in artificial intelligence and machine learning.

  

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About Microsoft:

Microsoft, founded by Bill Gates and Paul Allen in 1975 in Redmond, Washington, USA, is a technology giant known for its wide range of software products, including the Windows operating system, Office productivity suite, and cloud services like Azure. Microsoft also manufactures hardware, such as the Surface line of laptops and tablets, Xbox gaming consoles, and accessories.

  

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About MSI:

MSI (Micro-Star International) is a globally recognized company that specializes in the development and manufacturing of a wide range of computer products. With a rich history dating back to its establishment in 1986, MSI has emerged as a key player in the technology industry, consistently delivering innovative solutions that cater to the needs of both casual users and hardcore enthusiasts. The company's product portfolio encompasses a diverse array of products, including motherboards, graphics cards, laptops, desktops, monitors, and various gaming peripherals. MSI's commitment to quality and performance is evident in its dedication to technologies, sleek designs, and rigorous testing standards. for its gaming-focused products under the MSI Gaming brand, the company has earned a reputation for delivering high-performance components that enhance the gaming experience.

  

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

  

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Event Info

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About CES:

CES, the Consumer Electronics Show, is an annual event held in Las Vegas, Nevada, organized by the Consumer Technology Association (CTA). With a history dating back to 1967, it has become the world's premier platform for unveiling and exploring the latest innovations in consumer electronics and technology. Drawing exhibitors ranging from industry titans to startups across diverse sectors, including automotive, health and wellness, robotics, gaming, and artificial intelligence, CES transforms Las Vegas into a global tech hub, offering a glimpse into the future of technology through a wide array of showcases, from startup-focused Eureka Park to cutting-edge automotive and health tech exhibitions.

  

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Technology Explained

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Blackwell: Blackwell is an AI computing architecture designed to supercharge tasks like training large language models. These powerful GPUs boast features like a next-gen Transformer Engine and support for lower-precision calculations, enabling them to handle complex AI workloads significantly faster and more efficiently than before. While aimed at data centers, the innovations within Blackwell are expected to influence consumer graphics cards as well

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Geforce: Geforce is a line of graphics processing units (GPUs) developed by Nvidia. It is the most popular GPU used in the computer industry today. Geforce GPUs are used in gaming PCs, workstations, and high-end laptops. They are also used in virtual reality systems, artificial intelligence, and deep learning applications. Geforce GPUs are designed to deliver high performance and power efficiency, making them ideal for gaming and other demanding applications. They are also capable of rendering high-resolution graphics and providing smooth, realistic visuals. Geforce GPUs are used in a variety of applications, from gaming to professional workstations, and are the preferred choice for many computer users.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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