Industrial AI isn’t slowing down. Germany is ready. Following London Tech Week and GTC Paris at VivaTech, NVIDIA founder and CEO Jensen Huang’s European tour continued with a stop in Germany to discuss with Chancellor Friedrich Merz new partnerships poised to bring breakthrough innovations on the world’s first industrial AI cloud. This AI factory, to
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Protein sequence alignment—comparing protein sequences for similarities—is fundamental to modern biology and medicine. It illuminates gene functions by…
Protein sequence alignment—comparing protein sequences for similarities—is fundamental to modern biology and medicine. It illuminates gene functions by reconstructing evolutionary relationships, technically called homology inference, that can inform drug development. When scientists discover or design a new protein, they can align it with known protein sequences to infer its structure and function.
Porting existing CPU applications to NVIDIA GPUs can unlock performance gains, enabling users to solve problems at a much greater scale and speed. While the…
Porting existing CPU applications to NVIDIA GPUs can unlock performance gains, enabling users to solve problems at a much greater scale and speed. While the process of adapting code for NVIDIA GPU acceleration requires an initial investment of time and effort, the resulting improvements in throughput and efficiency often far outweigh the costs. Such an undertaking may seem daunting and raise…
The future of cell biology and virtual cell models is dependent on measuring and analyzing data at scale. Single-cell experiments have been growing at an…
The future of cell biology and virtual cell models is dependent on measuring and analyzing data at scale. Single-cell experiments have been growing at an incredible rate over the last 10 years, beginning with hundreds of cells and now moving towards new data generation efforts with billions of cells. With virtual cell models, billions of virtual cells are also being generated.
Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run
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Level up GeForce NOW experiences this summer with 40% off Performance Day Passes. Enjoy 24 hours of premium cloud gaming with RTX ON, delivering low latency and shorter wait times. The hot deal comes just in time for the cloud’s highly anticipated launch of Dune: Awakening — a multiplayer survival game on a massive scale
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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.
In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are…
In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are moving away from single-sensor fixed-function solutions and in favor of diverse sensor arrays. These include vision, audio, temperature, force/torque, and communication sensors, IMUs, idaradar systems, ultrasounds, motors, and actuators.