Nvidia Nim microservices are now available, previously announced at CES. These Nim microservices are easy to download, fully packaged generative AI models that unlock the full power of your RTX GPU in LLMs, image, speech, vision, and more. Whether you want to power an AI assistant, digital human, or something completely new, Nim microservices make it super simple to download and get started immediately. The best part? They're not just for the cloud - you can just as easily download them and run them on your Nvidia G RTX GPU.

Visit build.nvidia.com to explore the available Nim microservices, including their chat RTX, a local chat and rag solution, as well as apps from partners like Anything LLM, Comfy UI for image generation, Flowwise, and Microsoft AI toolkit. This allows developers to create the next generation of AI applications completely powered locally. Nvidia is also excited to introduce their local RTX AI blueprints, which are essentially templates for different types of applications that you can download and start building on top of, including the impressive "PDF to Podcast" feature.

Nvidia's Nim microservices provide a convenient way to leverage the power of your RTX GPU for a variety of AI-powered applications, including language models, image processing, and speech recognition. These fully packaged generative AI models can be easily downloaded and run locally, without the need for cloud infrastructure.

By downloading Nim microservices, developers can quickly integrate powerful AI capabilities into their applications, whether it's powering an AI assistant, a digital human, or something entirely new. The local deployment option allows for low-latency, on-device processing, making Nim microservices a great choice for applications that require real-time performance.

Nvidia offers a range of Nim microservices, including ChatRTX for local chat and language processing, as well as integrations with third-party tools like Comfy UI for image generation and the Microsoft AI Toolkit. Developers can also explore Nvidia's local RTX AI blueprints, which provide templates for building different types of AI-powered applications.

One particularly exciting Nim microservice is the "PDF to Podcast" solution, which leverages local language models to convert text content into natural-sounding audio, enabling the creation of podcast-like experiences directly on the user's device.

To get started with Nvidia's Nim microservices, visit build.nvidia.com and explore the available offerings. With the power of your RTX GPU at your fingertips, you can unlock new possibilities for your AI-driven applications.

Nvidia's Nim microservices offer a convenient way to leverage the power of RTX GPUs for a variety of AI-powered applications. These fully packaged generative AI models can be easily downloaded and integrated into your projects, whether you're building an AI assistant, a digital human, or something entirely new.

One of the featured Nim microservices is Chat RTX, a local chat and language model solution that allows you to create conversational experiences powered by your RTX GPU. Additionally, Nvidia provides access to image generation tools, such as the ones offered by their partners like Comfy UI and Flowwise, enabling you to integrate high-quality image generation capabilities into your applications.

Nvidia also offers the Microsoft AI Toolkit, which gives developers the ability to create the next generation of AI applications that can run locally on RTX GPUs. Furthermore, the upcoming Local RTX AI Blueprints provide templates for various types of applications, including the impressive "PDF to Podcast" feature, which leverages local language models to transform text documents into audio content.

By taking advantage of Nvidia's Nim microservices, developers can unlock the full potential of RTX GPUs and bring innovative AI-powered experiences to their users, all while benefiting from the convenience of pre-packaged and easily integrable solutions.

Nvidia's Local RTX AI Blueprints are pre-built templates that simplify the development of AI-powered applications. These blueprints provide developers with a solid foundation to build upon, allowing them to create innovative solutions without the need to start from scratch.

The PDF to Podcast blueprint is a prime example of the power of these AI Blueprints. This template enables developers to build local, AI-driven applications that can convert PDF documents into high-quality audio podcasts. By leveraging Nvidia's cutting-edge AI technologies, developers can create applications that seamlessly transform text into natural-sounding speech, empowering users with a convenient and accessible way to consume content.

These Local RTX AI Blueprints are designed to unlock the full potential of Nvidia's RTX GPUs, ensuring that developers can harness the power of local, hardware-accelerated AI processing. This approach not only enhances the performance of AI applications but also provides users with a more responsive and reliable experience, without the need for constant internet connectivity.

By providing these pre-built templates, Nvidia is streamlining the development process, allowing developers to focus on innovation and the unique features of their applications, rather than spending time on the underlying infrastructure. This accelerates the creation of the next generation of AI-powered applications, empowering developers to bring their ideas to life more efficiently.

Nvidia's Nim microservices offer a powerful and accessible solution for developers looking to leverage the full potential of their RTX GPUs in building the next generation of AI applications. These pre-packaged generative AI models can be easily downloaded and integrated into a wide range of projects, from AI assistants and digital humans to completely new and innovative applications.

The ability to run these models locally, without the need for cloud infrastructure, is a game-changer, allowing developers to create highly responsive and efficient AI-powered experiences. The upcoming local RTX AI blueprints, such as the PDF to podcast solution, further demonstrate Nvidia's commitment to empowering developers with the tools they need to bring their ideas to life.

Overall, Nvidia's Nim microservices represent a significant step forward in making advanced AI capabilities more accessible and practical for developers of all levels. By simplifying the integration process and enabling local deployment, Nvidia is paving the way for a new era of AI-driven innovation.