Gunjan Mehta – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-06-12T19:05:43Z http://www.open-lab.net/blog/feed/ Gunjan Mehta <![CDATA[Run High-Performance AI Applications with NVIDIA TensorRT for RTX]]> http://www.open-lab.net/blog/?p=101673 2025-06-12T19:05:43Z 2025-06-12T13:00:00Z NVIDIA TensorRT for RTX is now available for download as an SDK that can be integrated into C++ and Python applications for both Windows and Linux. At...]]>

NVIDIA TensorRT for RTX is now available for download as an SDK that can be integrated into C++ and Python applications for both Windows and Linux. At Microsoft Build, we unveiled this streamlined solution for high-performance AI inference that supports NVIDIA GeForce RTX GPUs from NVIDIA Turing through NVIDIA Blackwell generations, including the latest NVIDIA RTX PRO lineup.

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Gunjan Mehta <![CDATA[NVIDIA TensorRT for RTX Introduces an Optimized Inference AI Library on Windows 11]]> http://www.open-lab.net/blog/?p=100333 2025-06-03T19:39:22Z 2025-05-19T16:00:00Z AI experiences are rapidly expanding on Windows in creativity, gaming, and productivity apps. There are various frameworks available to accelerate AI inference...]]>

AI experiences are rapidly expanding on Windows in creativity, gaming, and productivity apps. There are various frameworks available to accelerate AI inference in these apps locally on a desktop, laptop, or workstation. Developers need to navigate a broad ecosystem. They must choose between hardware-specific libraries for maximum performance, or cross-vendor frameworks like DirectML…

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Gunjan Mehta <![CDATA[NVIDIA TensorRT Unlocks FP4 Image Generation ?for NVIDIA Blackwell GeForce RTX 50 Series GPUs]]> http://www.open-lab.net/blog/?p=99256 2025-05-29T19:05:05Z 2025-05-14T15:05:11Z The launch of the NVIDIA Blackwell platform ushered in a new era of improvements in generative AI technology. At its forefront is the newly launched GeForce RTX...]]>

The launch of the NVIDIA Blackwell platform ushered in a new era of improvements in generative AI technology. At its forefront is the newly launched GeForce RTX 50 series GPUs for PCs and workstations that boast fifth-generation Tensor Cores with 4-bit floating point compute (FP4)—a must-have for accelerating advanced generative AI models like FLUX from Black Forest Labs. As the latest image…

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Gunjan Mehta <![CDATA[Maximum Performance and Minimum Footprint for AI Apps with NVIDIA TensorRT Weight-Stripped Engines]]> http://www.open-lab.net/blog/?p=83568 2024-11-14T15:55:20Z 2024-06-11T16:33:50Z NVIDIA TensorRT, an established inference library for data centers, has rapidly emerged as a desirable inference backend for NVIDIA GeForce RTX and NVIDIA RTX...]]>

NVIDIA TensorRT, an established inference library for data centers, has rapidly emerged as a desirable inference backend for NVIDIA GeForce RTX and NVIDIA RTX GPUs. Now, deploying TensorRT into apps has gotten even easier with prebuilt TensorRT engines. The newly released TensorRT 10.0 with weight-stripped engines offers a unique solution for minimizing the engine shipment size by reducing…

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