Partners
myrtle.ai's trusted partners
We work with a range of technology partners to share knowledge and expertise in machine learning and acceleration.
We partner with all three companies whose FPGAs power accelerator cards for data centers, namely AMD, Altera and Achronix. This enables us to stay at the forefront of development in digital design and specifically hardware-accelerated machine learning. We also partner with leading companies in specific applications and with cloud companies.
We’re an Altera® Titanium Partner. We work within Altera to deliver ML inference solutions for a range of FPGAs and data center acceleration cards based on them. Applications include Finance and Conversational AI. Our VOLLO product, designed for use by financial trading firms, cyber-security organisations and others requiring the very lowest latency, runs on Altera’s Agilex™ F-Series FPGAs.
BittWare, a Molex company, designs and manufactures enterprise-class FPGA hardware, addressing enterprise-class qualification and lifecycle requirements for customers deploying solutions in volume. Our VOLLO product runs on BittWare PCIe cards based on Altera Agilex FPGAs.
We’re an Achronix partner and work with them to optimize machine learning inference on Achronix FPGA technologies. We can process over 1,000 channels of low-latency ASR on a single Speedster 7t FPGA and have recently added LLM acceleration to achieve low-latency conversational AI at lower cost.
Napatech is a leading provider of Programmable Network Interface Cards (NICs) including SmartNICs and Infrastructure Processing Units (IPUs) used in cloud, enterprise and telecom datacenter networks. Napatech Programmable NICs are used to increase the performance of applications in the most demanding server-based applications. Napatech has a complete solution for VOLLO, powered by their Programmable NICs.
Interested in partnering?
Get in touch with our team today to explore a partnership
At myrtle.ai we strive to stay at the forefront of development in digital design and specifically hardware-accelerated machine learning. Are you a leading company in the AI/ML space?




