CPU, GPU and FPGA does the engineering to make deep learning a low power, high performance reality today. From world-changing self-driving car projects to reducing the power consumption of the worlds data centers: we strive to use our expertise to transform the world today by making tomorrow’s AI run with unsurpassed efficiency on low power hardware.


January 7, 2019

Myrtle's code is the official benchmark for one of the seven segments of the global deep learning competition

Data Center Acceleration

October 19, 2017

Myrtle delivers deep learning support for Intel’s new programme for FPGA-based acceleration in the data centre


July 25, 2017

Myrtle's state of the art DRUM compiler enables quick deployment of low-latency, high-throughput FPGAs solutions

Validation & Verification

April 20, 2017

Myrtle becomes part of £2m collaboration into the safety and verification challenges of using deep learning in on-road vehicles

Funding Round

March 30, 2017

Myrtle secures seed funding from the Cambridge Angels Group to expand its development team and launch a number of new technologies in the year ahead