The NVIDIA

GPU Advantage

NVIDIA GPUs 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 GPUs suitable for life sciences or medical use offer anywhere from 640 to 5120 CUDA Cores – and NVIDIA RTX^™ enabled GPUs include Tensor Cores optimized for AI (Deep learning) and RT Cores designed for real-time photorealistic 3D visualization. The massive core count advantage 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 GPU memory capacity and rigorously optimized and tested software drivers, NVIDIA 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 science research applications necessary to enable breakthroughs in basic research or speeding the drug discovery and development process.