Definition: What is a GPU?
To meet the ever-increasing demands of advanced industrial applications, embedded systems are continuously evolving, particularly in terms of using heterogeneous platforms that combine different types of processing units such as CPUs and GPUs. CPUs perform multi-task operations through serial processing, and it's now common to have multiple processing cores with high clock speeds in high-performance...
Definition: What is a GPU?
To meet the ever-increasing demands of advanced industrial applications, embedded systems are continuously evolving, particularly in terms of using heterogeneous platforms that combine different types of processing units such as CPUs and GPUs. CPUs perform multi-task operations through serial processing, and it's now common to have multiple processing cores with high clock speeds in high-performance computers. GPUs, on the other hand, have hundreds or thousands of smaller cores focused on specific tasks in massive parallel processing, such as image processing and data analysis.
Today's GPU computers, which integrate both CPU and GPU, are tailored to meet the needs of specific industrial applications like facial recognition, video surveillance, autonomous driving, automated optical inspection, machine learning, and other edge AI computing tasks. A GPU computer on-site contributes to improving the efficiency of the smart factory, reducing unexpected downtime, and lowering production costs.
DANBIT A/S's GPU computers offer advanced computing power and support a range of different form factors for GPU expansion cards, such as Mobile PCI Express Module (MXM), PCIe, and full-length PCIe. These GPU computers are designed to reliably handle 100% loading of both CPU and GPU, thanks to a high power budget and optimized thermal design. Their robust construction and compliance with industry standards also make them suitable for use in harsh environments. The latest developments in GPU computers include improvements in energy efficiency, greater support for artificial intelligence and machine learning algorithms, as well as enhanced integration with cloud-based systems and IoT devices, opening up even broader applications within the industry.
Read full article about GPU
