Mithril Capital Management led the financing with significant participation by existing investors Lux Capital, Eclipse Ventures and the Tate Family Trust.
Flex Logix’s inference architecture is optimised for low latency operation required by edge megapixel vision applications.
The architecture combines numerous 1-dimensional tensor processors with reconfigurable, high bandwidth, non-blocking interconnect that enables each layer of the neural network model to be configured for maximum utilization, resulting in very high performance with less cost and power.
The connections between compute and memory are reconfigured in millionths of a second as the model is processed.
This architecture is the basis of Flex Logix’s InferX X1 edge inference accelerator which is now running YOLOv3 object detection and sampling to lead customers.
“Mithril’s strong support, combined with the continued backing from our existing investors, will allow us to further build out our software, engineering and customer support teams and accelerate the availability of our hardware and software for edge enterprise applications,” said Geoff Tate, CEO and Co-founder of Flex Logix. “Our InferX X1 chips and boards will be available for mass production in mid 2021 along with availability of our InferX Inference compiler, which takes in Tensorflow Lite and ONNX neural network models and generates the code to run InferX X1 without the detailed programming other solutions require.”
