The InferX Hawk system includes the company’s InferX X1 AI accelerator chip, AMD Ryzen Embedded R2314 SoC, InferX Runtime software, and the EasyVision platform running Linux or Windows to deliver an integrated low power, high-performance AI system.
The AMD Ryzen Embedded R2314 delivers performance per watt efficiency using “Zen+” core architecture and Radeon Graphics.
According to Flex Logix, using the Hawk mini-ITX solution, customers will be able to save over six months of hardware and software development time.
“Adding AI inference to a product can be a revenue-generating game changer and being able to leverage an established industry standard accelerates development and time-to-market,” said Barrie Mullins, VP of Product Management for Flex Logix. “The InferX Hawk system is an out-of-the-box solution that delivers increased performance, lower power and decreased costs over many other competitive solutions.”
“We designed our Ryzen Embedded R2000 Series to deliver the performance and functionality needed for emerging AI and machine learning applications,” said Rajneesh Gaur, corporate vice president and general manager, Adaptive & Embedded Computing Group at AMD. “Whether a customer is designing an industrial application, thin client, or mini-PCs, the ability to have high performance at optimised power and great graphics is a key competitive advantage.”
The InferX Hawk system is designed for a wide range of smart vision and video applications, many that are traditionally based on Windows.
Customers using Hawk can also take advantage of Flex Logix’s EasyVision platform that provides ready-to-use models that are trained to perform the most common object detection capabilities such as hard-hat detection, people counting, face mask detection and license plate recognition.
