“With the general availability of our X1M board, customers designing edge servers and machine vision systems can now integrate superior AI inference capabilities with high accuracy, high throughput, and low power consumption on complex models,” said Dana McCarty, Vice President of Sales and Marketing for Flex Logix Inference Products. “By incorporating an X1M board, customers can not only design new and exciting AI capabilities into their systems, but they also have a faster path to the production ramp compared to designing their own custom board design. .”
About the InferX X1M Card
Featuring Flex Logix’s InferX X1 edge inference accelerator, the InferX X1M board delivers the most efficient AI inference acceleration for advanced edge AI workloads such as Yolov5. Maps are optimized for large models and megapixel images at lot=1. This provides customers with high-performance, low-power object detection and other high-resolution image processing capabilities needed for edge servers and machine vision systems.
The InferX X1M M.2 card meets the low power requirements of the M.2 specification. To help customers get to market quickly, Flex Logix also provides a suite of software tools to accompany the boards. This includes tools for porting trained ONNX models to run on the X1M, and a simple runtime framework to support inference processing on Linux and Windows.
Software tools also include an InferX X1 driver with external APIs designed for applications to easily configure and deploy models, as well as internal APIs to handle low-level functions designed to control and monitor the X1M board.
Flex Logix is a reconfigurable computing company providing software-, systems- and silicon-based AI and eFPGA inference solutions. Its InferX X1 is the industry’s most efficient cutting-edge AI inference accelerator that will bring AI to the masses in high-volume applications by delivering much higher inference throughput per dollar and per watt. The Flex Logix eFPGA platform enables chips to flexibly handle evolving protocols, standards, algorithms and customer needs and implement reconfigurable accelerators that accelerate key workloads by 30 to 100 times compared to processors. Flex Logix is headquartered in Mountain View, California and also has offices in Austin, TX. For more information, visit https://flex-logix.com.
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SOURCE Flex Logix Technologies, Inc.