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Intel has unveiled its latest AI processor series tailored for edge computing, introducing the ‘Amston Lake’ Atom x7000RE chips engineered for industrial-grade deep learning inference. These new processors represent a significant leap forward from the previous x6000RE series, boasting double the cores and twice the higher graphics base frequency, all while maintaining a compact 6W–12W BGA package.
The x7000RE series brings enhanced performance within a smaller footprint, featuring up to eight E-cores and supporting LPDDR5/DDR5/DDR4 memory alongside nine PCIe 3.0 lanes, facilitating robust multitasking capabilities.
Designed to endure challenging conditions, including extreme temperature fluctuations, shock, and vibration, these processors are engineered to thrive in hard-to-access environments. They come equipped with 2x SATA Gen 3.2 ports, up to 4x USB 3.2 Gen 2 ports, a USB Type-C port, 2.5GbE Ethernet connectivity, as well as Intel Wi-Fi, Bluetooth, and 5G platform functionalities.
Catering to the needs of embedded, industrial, and communication applications, the x7000RE series offers four distinct SKUs optimized for extended temperature operation. The x7211RE and x7213RE models feature 2 cores with lower base frequencies, while the x7433RE boasts 4 cores, and the x7835RE delivers 8 cores with higher base frequencies.
All four SKUs support GPU execution unit counts of either 16 or 32, along with Intel’s Time Coordinated Computing and Time-Sensitive Networking GbE features. Additionally, the x7000RE processors are equipped with integrated Intel UHD Graphics, Intel DL Boost, Intel AVX2 with INT8 support, and OpenVINO toolkit compatibility.
These chips enable customers to seamlessly deploy deep learning inference at the industrial edge and in smart cities, empowering them to enhance computer vision solutions with built-in AI capabilities and ecosystem-enabled camera modules. Moreover, the x7000RE series enables the capture of power- and cost-efficient performance, facilitating latency-bounded workloads in robotics and automation applications.