AMD completed Class B qualification for space-grade Versal adaptive systems on chips (SoCs). The XQR Versal AI Core XQRVC1902 devices deliver full radiation tolerance, accelerated AI inferencing, and high-bandwidth signal processing performance for satellite and space applications. The completion of Class B qualification, derived from the U.S. military specification MIL-PRF-38535, allows the devices to begin shipping in early 2023.
The radiation-tolerant XQR Versal AI Core XQRVC1902 devices represent a major leap forward in enabling sophisticated onboard data processing and AI inferencing applications in space. Until now, highly complex AI applications could only be performed with custom-designed ASICs, which are prohibitively expensive for most space programs.
In contrast to ASICs, the XQR Versal adaptive SoC supports reprogramming during development as well as after deployment, including in flight in the harsh radiation environment of space. This permits satellite operators to change processing algorithms after a satellite has been launched, allowing for previously unavailable flexibility in remote sensing and communications applications. The radiation tolerance of the XQR Versal has been tested by AMD and independent organizations and has been determined to be capable of supporting missions from low-earth orbit to geosynchronous earth orbit and beyond.
“Raytheon is basing our next-generation space processors on the XQR Versal adaptive SoCs due to the chip’s performance in various radiation environments and its high quality levels,” said Barry Liu, senior director, Space Systems at Raytheon Intelligence and Space. “Its heterogeneous computing capabilities and reconfigurable logic fabric will enable our teams to integrate more onboard processing in a considerably smaller footprint, enabling unprecedented advances in system-level size, weight and power.”
The devices feature dual-core Arm Cortex-A72 and dual-core Arm Cortex-R5 embedded processors, 400 AI/ML compute engines, almost 900,000 logic cells, and 191 million bits of memory, all connected with a network on chip and fabricated on a 7nm CMOS process.
Developers can produce designs for XQR Versal devices using the AMD Xilinx Vivado tool suite and Vitis AI software platform from a variety of developer tools and industry-standard frameworks, including RTL, C and C++, Matlab, Caffe, TensorFlow, PyTorch, and others.
“The Class B qualification marks a significant milestone in the introduction of advanced programmable solutions for space applications,” said Minal Sawant, senior director of aerospace and defense vertical market, AMD. “We have prioritized an accelerated schedule for the Versal adaptive SoC Class B qualification, all while ensuring a thorough and rigorous approach to the testing and analysis necessary to qualify devices for use in space. We are excited to start scheduling customers’ orders for flight-grade Versal devices.”