NVIDIA has unveiled a suite of AI foundation models designed to elevate the performance of RTX AI PCs. Announced at CES 2025, the innovations promise to transform generative AI, content creation, and productivity workflows.

The models, delivered as NVIDIA NIM™ microservices, leverage the power of GeForce RTX™ 50 Series GPUs. These GPUs boast 3,352 trillion operations per second of AI performance, 32GB of VRAM, and the NVIDIA Blackwell architecture. The GPUs also introduce FP4 computing, doubling AI inference performance and reducing memory requirements for generative AI models to operate locally.

A Legacy of AI Excellence

NVIDIA’s contributions to AI extend back over a decade. Its GeForce™ GTX 580 GPU played a pivotal role in training AlexNet in 2012, a milestone in deep learning. By 2024, over 30% of published AI research cited GeForce RTX technology. Today, NVIDIA’s tools, including AnythingLLM and LM Studio, make AI workflows accessible to developers and enthusiasts.

“AI is advancing at light speed, from perception AI to generative AI and now Agentic AI,” said NVIDIA CEO Jensen Huang. “NIM microservices and AI Blueprints give PC developers and enthusiasts the building blocks to explore the magic of AI.”

Simplifying AI with NIM Microservices

NIM microservices enable easy integration of advanced AI models into applications. Designed for NVIDIA GPUs, they provide a user-friendly interface for deploying AI capabilities. Partnerships with developers like Black Forest Labs and Stability AI expand the range of available models, which include large language models, vision-language models, and speech synthesis tools.

“GeForce RTX 50 Series GPUs with FP4 compute will unlock a massive range of models that can run on PCs, previously limited to data centers,” said Robin Rombach, CEO of Black Forest Labs.

Enhancing AI Development on Windows

Optimized for Windows 11 PCs, NIM microservices work seamlessly with the Windows Subsystem for Linux (WSL).

“AI is driving Windows 11 PC innovation at a rapid rate,” said Pavan Davuluri, corporate vice president of Windows at Microsoft. “NVIDIA’s NIM microservices, optimized for Windows PCs, accelerate the deployment of AI capabilities to Windows users.”

NIM microservices integrate with leading AI development frameworks, including the AI Toolkit for VSCode and LangChain, supporting workflows across PCs, data centers, and the cloud.

Introducing Project R2X and AI Blueprints

At CES, NVIDIA also revealed Project R2X, a vision-enabled desktop assistant. Using generative AI, R2X manages applications, summarizes documents, and enhances video calls.

Complementing this is NVIDIA’s AI Blueprints, preconfigured workflows for tasks like turning PDFs into podcasts or creating images from 3D scenes. These tools simplify AI application development for creators and professionals.

Primotech’s AIML Services: Your AI Partner

As NVIDIA redefines AI, Primotech offers expertise to help businesses embrace these innovations. From deploying Agentic AI models to creating tailored solutions, our advanced AIML services empower organizations to stay ahead.

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