Tenth generation Intel core processors, more powerful edge processing power!

28 August 2023

The 10th generation Intel? Core ? processor can provide a solid support for the IoT platform. It has ten cores and twenty threads to provide unprecedented data throughput. In addition, the processor also has LGA sockets, with scalability, support for embedded use conditions, and long-term availability.

The 10th generation Intel? Core ? processor has a thermal design power consumption (TDP) of 35W to 65W, which means that retail, industrial, medical, gaming, entertainment and other industries that require high power consumption can benefit . In addition, the processor has a wide range of applications, including:

? Its built-in artificial intelligence (AI) and analysis functions can help digital signage solutions to better provide customers with real-time data, motion trajectories, and give the most effective product recommendations;

? Its computer vision and deep learning capabilities can enhance the user experience of vending machines;

? Can provide support for advanced and innovative medical imaging solutions, making it possible to use mobile imaging technology for inpatient treatment and distributed diagnosis and treatment;

? Used in smart shelves and point-of-sale equipment to enable collection and analysis of inventory throughput;

? Applied to robot design with enhanced computer vision and deep learning performance;

? Ability to connect multi-functional industrial computers with many high-definition cameras to achieve near real-time product anomaly detection and asset tracking.

Intel? Virtualization Technology allows users to aggregate CPU workloads and optimize resource utilization by virtualizing CPU, memory, and I / O. The built-in hardware accelerator can improve the visual performance of the computer, and the dedicated calculation module for inference can effectively enhance the AI ??performance. The Intel? Media SDK, Intel? OpenVINO ? toolkit distribution, and inference engine high-density deep learning (HDDL) plug-in together can support the design and simplification of AI workloads and functions.