LogicTronix is “Design Service Partner of AMD-Xilinx Kria SoM for AI/ML”, know more about partnership: Link
We are pioneer on “Machine Learning(ML) Acceleration on FPGA”.
We provide turnkey design service for ML accelerated “Vision Edge and AI” Solutions!
- Our turnkey offering on ML Acceleration includes dataset preparation, training network , optimizing network architecture, pruning, quantizing, designing FPGA IP system, embedded linux development , deploying boot system on FPGA and designing custom FPGA Board-PCB.
- We accelerate ML applications on AMD-Xilinx MPSoCs (starter kits to production boards: Kria KV260/ZCU10X to custom boards), Versal VCK190/VEK280/Custom and Alveo.
See our Machine Learning Portfolio : LogicTronix[dot]com_ML_Portfolio
Our Machine Learning Acceleration flow on FPGA (Edge/Cloud):

AI/ML Acceleration flow on FPGA – LogicTronix
LogicTronix AI-Enabled Solutions:
Some of our AI-Enabled Solution for “Smart Parking and Traffic Management” and Machine Learning deployment based on Vitis AI/ DNNDK with MPSoC FPGA are:
1.LogicTronix ANPR Solution
LogicTronix ANPR is now available for Asia Pacific and North America
2. TVAS – Traffic Vehicle Counting with Kria KV260 / Ultra96 FPGA
We have developed the “real time vehicle counting system” based on camera feed or video stream of real traffic video. Our system can be implemented with low cost MPSoC board [Ultra96 FPGA] or other custom board with MPSoC.
Watch the demo of “Vehicle Counting System”: Link
3.Machine Learning with Alveo U200/U250 and VCU1525 FPGA
- We also have developed different applications based on ML Suite for Alveo FPGA [U200] card. For exploring with ML Suite for Alveo, ML Suite supports kernel precision INT8, INT16 neural networks. Here is the Video Tutorial Link: ML Acceleration on Alveo FPGA-Video Tutorial.
4. DPU TRD for ZCU104 [VitisAI / DNNDK Implementation]:
- This application is developed for implementing the DNNDK (obsolete since 2021) on the ZCU104 using the PG338 of Xilinx[Deephi ].
- This implementation is used for Image Classification and Face Detection with some user application.
5. Featured ML Developments
- Along with Edge-AI Solutions , we also have published multiple reference articles and resources at Hackster.io/LogicTronix.