The NVIDIA Quadro GPU Advantage

NVIDIA Quadro graphics boards use parallel processing to break down complex visual computing problems such as processing and visualizing the raw data provided by CT, ultrasound, MRI and PET scans into many smaller tasks that run simultaneously (in parallel). Where contemporary CPUs have anywhere from 2 to 22 cores, NVIDIA Quadro GPUs suitable for life sciences or medical use offer anywhere from 640 to 5120 CUDA cores – and products like the NVIDIA Quadro RTX™ even offer Tensor cores optimized for AI (Deep learning) or RT cores designed for realtime 3D visualization. The massive core count increase allows GPUs to run vital tasks in parallel at far greater speed than any conceivable CPU can offer, across a broad spectrum of medical imaging technologies and life sciences research applications. With their large on-board graphics memory and rigorously optimized and tested software drivers, NVIDIA Quadro GPUs are the engines that power the world’s most sophisticated medical imaging solutions. These same powerful features also make them ideal for many essential life sciences research applications necessary to enable breakthroughs in basic research or speeding the drug discovery and development process.

Enabling Next Generation Healthcare Solutions

NVIDIA Quadro offers the graphics and compute performance required to deliver state of the art medical imaging systems, drive ultra-high-resolutions and HDR (High Dynamic Range) clinician workstation displays, and the ability to deliver AR (Augmented Reality) and VR (Virtual Reality) solutions in even the most closely controlled regulatory environments.

Deep Learning, a form of AI (Artificial Intelligence) is profoundly changing the way basic research, clinical diagnoses, and externalities such as lifestyle differences, personal genomic variation, and age (among other factors) can guide treatment options and produce the best patient outcome. Select NVIDIA Quadro boards, such as the RTX series, offer dedicated Tensor cores that are optimized for the training required to develop Deep Learning systems based on DNN (Deep Neural Network) techniques, and deliver the inferencing performance required to deliver timely results.

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The Power to Deliver AI-Accelerated Healthcare

Deep Learning (Artificial Intelligence) Game Changer for Healthcare Industry
Deep Learning is being adopted in clinical research and clinical decision making. AI is being utilized in many situations to improve clinician accuracy and most importantly improved patient outcomes. Deep learning relies on GPU acceleration, for training (development) and inferencing (decision making) of Deep Neural Networks, and NVIDIA Quadro professional GPUs such as the GP100, GV100, and the new NVIDIA Quadro RTX 8000, RTX 6000, and the RTX 5000 implement AI-specific Tensor cores necessary to power the next generation of AI/Deep learning applications with the performance, reliability and scalability you need.

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