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…NVIDIA Research at CVPR NVIDIA technologies — including GPUs, open models, simulation frameworks and CUDA-accelerated libraries — were referenced in the majority of accepted CVPR 2026 papers, with adoption across leading global research…
…The NVIDIA technologies accelerating streaming and data analytics include a suite of NVIDIA CUDA-X data processing libraries that enable immediate insights from continuous data streams and reduce latency, such as: NVIDIA…
…https://blogs.nvidia.com/wp-content/uploads/2020/05/A100_TensorCore_01_FP64.mp4 With FP64 and other new features, the A100 GPUs based on the NVIDIA Ampere architecture become a flexible…
…Examples include a paper from CMU demonstrating a robotic control framework trained in NVIDIA Isaac Lab and MIT work on large language model-guided reinforcement learning powered by NVIDIA GPUs. Explore NVIDIA…
…Dell’s update to its AI Data Platform with NVIDIA centers on accelerated data engines built on NVIDIA CUDA-X libraries — including cuDF for structured data and cuVS for unstructured data. Multiple…
…Microsoft Bing optimized the TuringMM pipeline using NVIDIA TensorRT and NVIDIA acceleration libraries including CV-CUDA and nvImageCodec . These efforts resulted in a 5.13x speedup and significant TCO reduction. Maximizing ROI…
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