Flex Logix joins Edge AI and Vision Alliance

“We are excited to join the Alliance and look forward to working with other members to help accelerate the adoption of edge vision systems,” says Dana McCarty, Vice President of Sales and Marketing for Flex Logix’s Inference Products. “Our InferX X1 inference chips and boards provide customers with superior AI inference capabilities where high accuracy, high throughput and low power on complex models is needed. These benefits are critical for driving inference capabilities into the volume mainstream market.”

The InferX X1P1 board

The InferX X1P1 board offers the most efficient AI inference acceleration for edge AI workloads such as Yolov3. Many customers need high-performance, low-power object detection and other high-resolution image processing capabilities for robotic vision, security, retail analytics, and many other applications.

“Real-world applications of visual AI are growing rapidly in number, scale and diversity. Many of these applications demand a combination of high processing performance, efficiency and flexibility,” says Jeff Bier, Founder of the Edge AI and Vision Alliance. “With its InferX X1 SoC and accompanying toolset, Flex Logix has used its programmable logic technology to implement reconfigurability for its tensor processors and their interconnect fabric, implementing an intriguing approach to deep learning inference acceleration. We welcome Flex Logix as one of the Edge AI and Vision Alliance’s newest members.”

Article Topics

AI  |  computer vision  |  edge AI  |  Edge AI and Vision Alliance  |  Flex Logix