This week Nvidia announced that 70 more widely used applications have added support for GPU acceleration so far this year, bringing the total number available to researchers, engineers and designers to more than 200.
GPU computing first gained momentum among researchers who could download CUDA to accelerate their own applications for scientific discovery and research,â said Addison Snell, chief executive officer of Intersect360 Research. âWe are now in a new era where more commercial software is GPU-optimized, providing accelerated options across the full spectrum of engineering and business computing.â
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