OUR VISION
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.
NEWS
Myrtle.ai achieves unrivalled latencies in STAC-ML™ benchmarks with its VOLLO product
Enables financial firms to make faster and more intelligent ML decisions
Read MoreMyrtle.ai is proud to be a founding member of MLCommons
New open engineering consortium established to accelerate innovation in ML
Read MoreMyrtle.ai delivers up to 16x throughput advantage for speech synthesis
Achieves high fidelity speech synthesis at lower cost using Intel® Stratix® 10 NX FPGA
Read MoreMyrtle.ai Solves Core Recommendation Model Challenge with SEAL
Enables large cost savings with a straightforward scale up of existing infrastructure
Read MoreMyrtle.ai launches new domain-specific, sparsity-exploiting inference accelerator at Xilinx Developer Forum 12 November 2019
Delivers very high throughput within tight latency bounds
Read MoreMyrtle releases optimized speech inference solution for the Intel® FPGA PAC D5005 platform
Reduces costs and removes growth constraints for businesses offering speech services
Read MoreMyrtle.ai selected to provide artificial intelligence benchmark code for internationally recognised competition
MLPerf selects myrtle.ai to provide benchmark code for Speech To Text
Read MoreKEY STAFF
Peter Baldwin
CEO
Peter is the founder of Myrtle.ai, which has focused on hardware-software co-design for efficient machine learning inference and other core data-center workloads since 2017. Through Peter, Myrtle.ai was instrumental in setting up the speech transcription benchmark for MLPerf. Peter previously founded a software development company which wrote distributed data center software. He was also a Senior Technical Director at several multinational visual effects companies. Peter holds a PhD in Pure Mathematics from Cambridge University, UK.
Liz Corrigan
Head of Engineering
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.
Tom Lagatta
Executive Chairman
Tom was previously Executive Vice President of Sales and Marketing at Marvell Technology. Prior to joining Marvell in 2016, Tom spent 12 years at Broadcom in a variety of executive leadership roles, including EVP of Business Development, EVP of Worldwide Sales, and SVP and General Manager of the Enterprise Computing Group. Tom earned an M.S. in Electrical Engineering from the University of Southern California and a B.S. in Electrical Engineering from Ohio State University.
Giles Peckham
Head of Marketing
Giles has global experience in design, sales and marketing roles with ASIC, FPGA and IP companies. Since 2018 he has focused on FPGA acceleration for machine learning applications and he joined Myrtle.ai in 2019.
Mike Ashby
Senior FPGA Engineer
Mike is an expert in the design, test and optimisation of complex FPGA based products. In previous roles he has developed new products including a multi-constellation, global navigation satellite system receiver and a software defined meshing radio.
Jon Fowler
Senior Developer
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.
Jonathan Shipton
Software Lead
Cambridge University educated computer scientist and expert on functional programming and its applications to low level systems.
Douglas Reid
Principal FPGA Engineer
Doug has extensive experience in FPGA and hardware architecture and design. Prior to joining Myrtle.ai, Doug has had roles in startups and consultancy, finding innovative solutions to customer problems.
Contact Us
If you’re interested in the efficient deployment of AI-based services using inferencing on DNNs, we’re interested in hearing from you.
Visit Us
St. Andrew’s House, 59 St. Andrew’s Street, Cambridge, CB2 3BZ, UK
