LLM Faster on PC NVIDIA RTX AI: Run Language Models Anywhere with AnythingLLM

Large language models (LLMs), trained on datasets of billions of tokens, are now the beating heart of countless AI-based applications, ranging from advanced chatbots to code generators and data analysis tools. Their ability to generate high-quality content and process complex information makes them indispensable tools in the digital age.

For AI enthusiasts and anyone looking for a full-featured, privacy-focused, and entirely local-run intelligent assistant, AnythingLLM is an increasingly accessible solution . This desktop application lets you harness the power of LLMs right on your PC.

With the recent support for NVIDIA NIM microservices on NVIDIA GeForce RTX and NVIDIA RTX PRO GPUs, AnythingLLM has achieved a quantum leap in performance. This integration enables faster, more responsive local AI workflows, democratizing access to advanced compute capabilities .

AnythingLLM is a complete AI platform designed to run local language models, use Retrieval Augmented Generation (RAG) systems and agentic tools. It acts as a bridge between the user's preferred LLMs and their personal data, ensuring privacy and control .

Among the main features offered, AnythingLLM allows you to get answers to questions: and therefore interact with models such as Llama and DeepSeek R1 without additional usage costs. It also allows you to query personal data or perform private queries on PDF files, Word documents, code repositories and other content, using the RAG system. Of course, it is able to summarize documents and practically generate quick and precise summaries of long texts, such as academic articles.

AnythingLLM is able to perform data analysis, then load files, extract insights and interact with data across LLMs and finally it is able to perform agentic actions, that is, use generative tools, automate prompt-based actions and conduct dynamic searches on local or online resources .

The platform supports numerous open source models that run locally and can also connect to cloud-based LLMs provided by giants such as OpenAI, Microsoft, and Anthropic. Additionally, thanks to its community hub, you can expand the functionality with additional skills for advanced agentic tasks. The app is installed with a single click and works both as a standalone program and as a browser extension, offering an intuitive interface and without complex configurations . It is the ideal solution for GeForce RTX and NVIDIA RTX PRO GPU users who want to take full advantage of the capabilities of their hardware.

GeForce RTX and NVIDIA RTX PRO GPUs are key to delivering excellent performance when running LLM and AI agents within AnythingLLM. With Tensor Cores, specifically designed to accelerate AI workloads, inference is significantly faster than CPU-based or unoptimized solutions.

AnythingLLM uses Ollama to handle local model execution, using Llama.cpp and the ggml tensor machine learning libraries . These technologies are optimized for NVIDIA RTX GPUs and 5th-generation Tensor Cores, delivering a significant performance advantage: on a GeForce RTX 5090, performance is up to 2.4x faster than on an Apple M3 Ultra, on both Llama 3.1 8B and DeepSeek R1 8B.

With the introduction of new NVIDIA NIM microservices and reference workflows, such as the extensive AI Blueprints library, tools like AnythingLLM are poised to enable a growing number of multimodal AI applications.

AnythingLLM recently added support for NVIDIA NIM microservices. NIMs (NVIDIA Inference Microservices) are pre-configured, performance-optimized generative AI models designed to make it easy to get started with AI workflows on RTX AI GPU-equipped PCs with a simple, no-fuss API .

NIMs offer an ideal solution for developers and creators who want to quickly test generative AI models within a workflow . Instead of having to search for the right model, download files, and manually configure the environment, NIMs provide everything you need in a single, ready-to-use, executable container. They can run both locally and in the cloud, making it easy to prototype on your PC and then deploy to cloud-based environments.

With AnythingLLM’s user-friendly interface, users can explore NIMs in just a few steps, quickly test them, and integrate them into their workflows. Alternatively, they can connect them to custom applications using NVIDIA’s AI Blueprints and the provided materials (documentation, example code, and how-to guides) for custom development.