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About Neuronix AI Labs


Neuronix AI Labs was at the forefront of developing innovative AI solutions that were both innovative and practical. Neuronix provided neural network sparsity optimization technology that enabled a reduction in power, size and calculations for various tasks, including image classification, object detection and semantic segmentation.

Microchip acquired Neuronix on April 15, 2024 to expand our capabilities for power-efficient, AI-enabled edge solutions deployed on Field-Programmable Gate Arrays (FPGAs). The acquisition of this technology enables us to develop cost-effective, large-scale edge deployments of components designed for use in computer-vision applications on systems that have cost, size and power constraints. Designers will be able to harness powerful parallel processing capabilities using industry-standard AI frameworks without in-depth knowledge of FPGAs.

In the sections below, see how Neuronix’s AI technology is being incorporated into Microchip’s products and learn more about how Microchip enables the use of AI in designs.

AI in FPGAs


Neuronix's AI algorithms and models are being leveraged to create more powerful and efficient PolarFire® FPGAs and System-on-Chip (SoC) FPGAs.

VectorBlox™ Accelerator


The VectorBlox Accelerator Software Development Kit makes it easy to program a trained neural network for Smart Embedded Vision solutions without prior FPGA experience. Neuronix technology combined with our VectorBlox accelerator design flow produces an increase in neural network performance efficiency and delivers outstanding GOPS/watt performance in our low-power PolarFire FPGAs and SoCs. Systems designers will now be able to architect and deploy small-footprint hardware that was previously difficult to build due to size, thermal or power constraints.

AI at Microchip


We enable the use of AI across many product lines. Easily bring your existing Deep Neural Network (DNN) model to an MCU or MPU device or see how our AutoML-powered design process automates the steps to build the ML models and our software toolkits allow the use of popular ML frameworks including TensorFlow, Keras, Caffe and many others.

See how Microchip uses AI in a variety of applications.

Smart Embedded Vision With Machine Learning

Smart Predictive Maintenance

Smart Human-Machine Interfaces

Machine Learning Workstations, Servers and Appliances