The key factors driving the GPU market growth include the rising adoption of GPUs in the healthcare sector, rapidly evolving PC gaming landscape with the advent of interactive Virtual Reality (VR) games, and the growing popularity of GPUs for machine learning and neural network training applications. In applications involving machine learning and Big Data analytics, GPUs are highly efficient when compared with CPUs as they enable excellent multiple parallel processing. With 10-100x application throughput and thousands of computational cores compared to CPUs, GPUs are preferred by scientists and data analysts who require massive Big Data processing capabilities. From interactive model-based image registration and MRI connectivity mapping to medical imaging and image reconstruction, the healthcare industry is increasingly leveraging the extensive computational power of GPUs. Technological advancements are giving rise to a persistent expectation from healthcare providers to deliver advanced visualization capabilities.
Sep-13-2019, 00:17:57 GMT