Rapid advances in the development of ever-more-complex machine learning algorithms and an explosion in the use of machine learning to introduce AI into all walks of life is massively increasing demand for compute capacity and the energy required to power it. The need for low latency in real-time applications is exacerbating that trend. Currently, data centers are the fourth largest consumer of power behind only China, the US and the EU, while performance and power consumption remain significant hurdles to the adoption of machine learning at the edge. Growth is unsustainable using traditional software-only solutions.
Our vision is to produce machine learning inference solutions which meet these exacting demands using minimum compute capacity and minimum energy, thus advancing the vast potential of machine learning to enhance our lives without costing the planet.
Delivers very high throughput within tight latency boundsRead More
Reduces costs and removes growth constraints for businesses offering speech servicesRead More
Peter is known for his data center software. He directly produced and supported simulation visual effects on twenty major Hollywood movies. He has a maths PhD and a special interest in the mathematical foundations of deep learning.
Liz runs Myrtle.ai’s engineering operations. Liz has been running teams to create FPGA based products and systems for over 15 years. She has developed state of the art mobile telecommunications equipment, shipped defence systems into theatre and led verification activities for security critical applications. Liz is a Chartered Engineer with a technical background in RTL design, verification and electronic systems design.
Brian has held C-level roles in management, sales & marketing at several international software and hardware companies.
Amy has over 20 years of experience in business administration, including many years within a leading international consulting firm. As PA to the CEO, Commercial Director and Senior Engineering Manager, Amy uses her project management qualification and experience to ensure operational efficiency in the delivery of the company’s key goals and provide support for the Board. Amy also runs the Myrtle.ai office, coordinating events, meetings, functions, recruitment and all other areas of the business.
Graham’s team accelerates our machine learning training and rapidly prototypes FPGA designs. Prior to joining Myrtle.ai, Graham worked at ARM semiconductors.
Jon is an expert in the testing and verification of functional programs. At Myrtle.ai he is one of the lead developers of the MAU Accelerator.
ENIAC award winner. Senior functional developer on Myrtle.ai’s neural net hardware team.
Cambridge University educated computer scientist and expert on functional programming and its applications to low level systems.
Sam leads our ML engineering effort into new model topologies and scalable training. Sam is currently the chair of the Speech Working Group for the MLPerf.org benchmarking consortium and he is also the owner of the official MLPerf transcription repository which is used to benchmark all inference and training hardware for this category.
Ollie leads our FPGA group and has extensive experience in embedded systems including high speed packet inspection and high grade cryptography.