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NVIDIA Unveils TensorRT for RTX to Boost AI Application Performance
NVIDIA Unveils TensorRT for RTX to Boost AI Application Performance
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NVIDIA has launched TensorRT for RTX, a new software development kit designed to enhance AI application performance on NVIDIA RTX GPUs. The SDK supports both C++ and Python integrations and is available for Windows and Linux platforms. Announced at the Microsoft Build event, it aims to streamline high-performance AI inference across various workloads, including convolutional neural networks and diffusion models.
The SDK serves as a drop-in replacement for the existing Nvidia TensorRT inference library, featuring a Just-In-Time optimizer to improve runtime performance. With a compact size under 200 MB, it is tailored for memory-constrained environments, eliminating lengthy pre-compilation steps and enhancing portability.
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