Impressive to see the growing impact of CUDA across such a wide range of fields, from quantum computing to life sciences. The scalability and innovation coming out of the supercomputing centers using CUDA-X libraries will likely shape the future of computational research. It's exciting to witness how these technologies continue to break barriers in science and industry alike.

On YouTube: https://nvda.ws/49kphPR

Building CUDA applications is super fun - I highly recommend

Mind blowing ⚡️ CUDA is accelerating entire industries. When you give developers this kind of power, innovation stops being a goal and becomes the standard.  

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CUDA continues to be a driving force in the world of high-performance computing, and it's incredible to see how it's enabling innovation across so many cutting-edge fields like life sciences, material sciences, quantum computing, and more

CUDA has become the backbone of modern computational acceleration — no question. But what’s most interesting now is what happens above the FLOPs layer. As GPUs push physics to the limit, the next breakthroughs won’t come only from faster kernels, but from new computational geometries that let intelligence emerge from structure rather than brute-force scale. At ARCHAI-D, QMU builds on the CUDA ecosystem by enabling cognition-driven computation — models that reason through resonance, not repetition. CUDA accelerates workloads. QMU redefines what those workloads can be. Exciting to see both layers advancing in parallel. #ARCHAID #QMU #CognitiveCompute #BeyondCUDA #SC25

Great to see how broadly CUDA is shaping everything from quantum computing to life sciences. The scalability coming from supercomputing centers using CUDA-X is pushing computational research forward, and it’s exciting to watch these technologies break new ground across science and industry.

The scale of CUDA adoption is truly remarkable, solidifying its role as the backbone for high-performance computing breakthroughs. Great to see NVIDIA continuously powering innovation across so many critical scientific fields.