NVIDIA Empowers Windows Developers with New AI Tools for RTX AI PCs
- KT Media
- Nov 21, 2024
- 1 min read
November 21, 2024 – NVIDIA has unveiled a series of innovative tools at Microsoft Ignite, aimed at empowering Windows developers to build and optimize AI-powered applications for RTX AI PCs. These advancements bring unprecedented AI performance directly to users, enabling groundbreaking workflows across various domains, from interactive digital humans to intelligent application assistants and immersive gaming experiences.
Key Announcements from NVIDIA
1. NVIDIA Nemovision-4B-Instruct Model
Set to be available soon, the Nemovision-4B-Instruct model leverages the NVIDIA VILA and NVIDIA NeMo frameworks. This model integrates advanced AI techniques, including distillation, pruning, and quantization, to deliver top-tier performance on RTX GPUs. Developers can expect high precision and robust capabilities tailored to demanding AI applications.
2. Mistral NeMo Minitron 128k Instruct Family
NVIDIA introduced the Mistral NeMo Minitron 128k Instruct family, a new suite of large-context small language models. These models are optimized for efficient digital human interactions, designed to enhance user experiences with responsiveness and scalability.
3. NVIDIA TensorRT Model Optimiser (ModelOpt) Updates
NVIDIA announced updates to the TensorRT Model Optimiser (ModelOpt), enabling developers to create faster and more accurate AI models. These updates ensure seamless deployment across the PC ecosystem via ONNX runtimes, offering an enhanced development experience and broader accessibility to cutting-edge AI performance.
Shaping the Future of AI on Windows
These innovations represent NVIDIA’s commitment to equipping developers with the tools they need to create intelligent and powerful applications. By optimizing for RTX GPUs, these solutions pave the way for more immersive, efficient, and user-centric AI experiences across industries.
For more details on these groundbreaking announcements, visit the official article on NVIDIA’s website:


Comments