ADLINK Technology, a global leader in edge computing, will showcase the world’s first MXM GPU modules powered by NVIDIA®
embedded GPUs featuring the NVIDIA Turing™ architecture and longevity support for embedded applications. ADLINK’s MXM GPU modules can deliver performance enhancements in high performance compute, computer graphics, and artificial intelligence (AI) by tapping the power of the Turing architecture and addressing the size, weight, and power (SWaP) challenges facing embedded applications, making them an ideal fit in mission-critical edge computing and AI applications.
GPU-accelerated computing is increasingly popular. Edge systems integrating GPUs can react faster and perform better in real-world applications, such as medical imaging, manufacturing defect inspection, traffic-flow analysis in smart cities, and many other embedded segments. The Turing architecture uses Tensor Cores, an integer data path and unified architecture for shared memory, enabling a 50 percent improvement in delivered performance per CUDA core compared with the NVIDIA Pascal architecture. The NVIDIA CUDA platform enables the GPU to be continually upgraded for additional performance gains with minimal software updates.
“In the example of medical imaging, image construction involves massive parallel data processing. Integrating required computing capabilities and meeting stringent SWaP requirements of mobile medical imaging instruments can be challenging, which is why NVIDIA Turing architecture-based MXM GPU modules are needed. ADLINK has seen the demand for GPU-accelerated computing springing up in the healthcare industry in China and Europe,” said Zane Tsai, Director of ADLINK's Platform Product Center at the Embedded Platform & Module Business Unit. “Big data and AI are being applied to screening and detection and lesion diagnosis in preventive and precision medicine. Turing architecture-based MXM GPU modules with Tensor Cores can provide high performance efficiency for these mission-critical tasks.”
Another growing application where GPU performance stands out is autonomous machines, such as self-driving vehicles, robots, and drones, which involve the processing of large volumes of high-dimensional data. “With the ability to process high volumes of data in parallel to produce high-precision results in the SWaP-constrained mobile environment, the Turing architecture-based MXM GPU modules deliver performance enhancements for autonomous machines to perform complicated maneuvers,” said Tsai.
“Powerful performance and enterprise reliability are essential to a rapidly expanding ecosystem of graphics-intensive applications that need the capabilities of NVIDIA Quadro GPUs, but operate in systems that do not support a standard PCI Express graphics card,” said Scott Fitzpatrick, vice president of Quadro Product Marketing, NVIDIA. “The ADLINK MXM GPU embedded modules deliver NVIDIA Quadro RTX performance and features in a custom, upgradeable form factor with long-term availability to bring the power of AI and big data to an even wider range of systems across healthcare, robotics, manufacturing and smart cities.”
Edge computing and AI applications tend to have long development cycles and require a hefty investment associated with development, function validation, and acquiring certifications, underscoring the importance of long-term product support for successful project deployments. As one of the leading edge computing suppliers and an NVIDIA Quadro Embedded Preferred Partner, ADLINK provides GPU-enabled products in a variety of form factors with longevity support and custom firmware, and optimized heterogeneous computing platforms, enabling developers to satisfy requirements of edge applications. Visit ADLINK’s booth at Embedded World.
Date: February 25 to 27, 2020
Location: Nürnberg Messe, Messezentrum NCC Ost,
90471 Nuremberg, Germany
Booth: Hall 1, Stand #540