iAbra

iAbra’s tools enable the creation of neural networks and their implementation on semi custom silicon for AI based data analysis. Artificial Intelligence is moving from the cloud to embedded applications. This is enabling a wide range of use cases including automotive, defence, manufacturing, healthcare and agriculture. Machine Learning ecosystems have been built mostly on GPUs for the cloud, where neural networks are generally very large and inefficient. These cloud based neural networks and power hungry GPUs make the AI use cases requiring embedded inference more difficult or impossible to engineer. FPGAs provide the ideal AI inference platform where low size, weight and power are design criteria. The FPGA’s efficiency and low power consumption are better able to deliver embedded applications. iAbra’s tools ensure that efficient neural networks are created and optimised for embedded FPGA silicon, delivering low power AI inference for a variety of applications. iAbra Neural PathWorks is the machine learning software platform from iAbra. It provides the neural network creation element of our end to end tool chain for embedded AI inference on FPGA. PathWorks can be made available on a Software as a Service basis, or licenced for implementation on a customer’s infrastructure. Neural Synapse is the AI Inference architecture for neural networks created in PathWorks. Synapse can be implemented on a Hardware Development Kit for testing purposes. iAbra can support customers with a range of services, from training and support through to neural network creation and testing.