NVIDIA and Microsoft Boost RTX Artificial Intelligence PCs with Enhanced TensorRT and Software Support

NVIDIA and Microsoft unveil new advances for RTX PCs, enabling richer Artificial Intelligence features and greater performance on Windows 11.

NVIDIA and Microsoft are accelerating the evolution of personal computing by enhancing RTX Artificial Intelligence PCs with unprecedented performance and ease-of-use for generative Artificial Intelligence applications. NVIDIA RTX Artificial Intelligence PCs now offer streamlined experimentation with generative Artificial Intelligence, enabling developers and users to access powerful features such as digital humans, advanced writing assistants, intelligent agents, and creative tools directly on Windows 11 devices.

Central to this advancement is the reimagined NVIDIA TensorRT engine for RTX PCs, which offers industry-leading performance through just-in-time, on-device engine building. Remarkably, the new iteration reduces the package size by a factor of eight, making Artificial Intelligence deployment more accessible for over 100 million RTX Artificial Intelligence PCs. This compact and efficient engine ensures developers can deploy high-performance Artificial Intelligence solutions across a broad hardware landscape while maintaining seamless usability.

Announced at the Microsoft Build event, the integration of TensorRT for RTX with Windows ML´s new inference stack grants developers broad hardware compatibility as well as state-of-the-art execution efficiency. NVIDIA´s robust suite of software development kits, including NVIDIA DLSS and multimedia enhancements like RTX Video, is now more accessible for integrating advanced Artificial Intelligence features. Major software developers—such as Autodesk, Bilibili, Chaos, LM Studio, and Topaz Labs—are launching updates that unlock Artificial Intelligence capabilities and acceleration tailored to RTX PCs. These advancements collectively foster a new generation of applications, streamlining Artificial Intelligence integration and performance improvements for users and developers alike.

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