Lawrence Jengar
May 19, 2025 13:04
NVIDIA introduces TensorRT for RTX, an optimized AI inference library for Windows 11, enhancing AI experiences across creativity, gaming, and productivity apps.
NVIDIA has revealed TensorRT for RTX, a new AI inference library designed to enhance performance on Windows 11. This development aims to boost AI experiences in creativity, gaming, and productivity applications by providing developers with optimized acceleration through a standardized API, according to NVIDIA’s blog.
TensorRT for RTX: Key Features
TensorRT for RTX builds on the success of the NVIDIA TensorRT Inference library, offering significant performance improvements for NVIDIA RTX GPUs. It supports various quantization types, including FP4, which enables next-generation AI models to fit on consumer GPUs. The library is lightweight, under 200 MB, and integrates seamlessly with Windows ML, Microsoft’s AI inference framework.
Optimized Performance
The library offers a performance boost of over 50% compared to baseline DirectML, as demonstrated on the GeForce RTX 5090. It also supports native acceleration of FP4 and FP8 computations on NVIDIA Tensor Cores, unlocking higher throughput for AI workloads.
Streamlined Developer Experience
TensorRT for RTX employs just-in-time (JIT) compilation, optimizing neural networks for RTX GPUs within seconds. This process, which occurs during application installation, supports a range of models including CNNs, audio, diffusion, and transformer models. The library’s efficient compilation process is designed to enhance developer workflows for PC AI use cases.
Broader Implications and Availability
The introduction of TensorRT for RTX coincides with Microsoft’s Build conference, where the library is available in the Windows ML public preview. A standalone version will be available in June from NVIDIA’s developer portal. The library promises to reduce build times and improve runtime performance, offering a leap forward in AI inference capabilities on Windows platforms.
Developers can explore TensorRT for RTX’s capabilities further during the Microsoft Build sessions, where NVIDIA will demonstrate how to supercharge AI on RTX PCs.
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