Xilinx provides a comprehensive Hardware and Software solution to enable AI Inference. The diagram below shows the high level components.
The Xilinx AI Platform supports a number of industry-standard frameworks, highlighted in the table below.
|Framework||Description||Data Center AI Platform Support||Edge AI Platform Support|
|TensorFlow is an open-source framework developed by Google.||?||?|
|CAFFE is an open-source framework developed at UC Berkeley.||?||?|
|MXNet is an open-source framework developed by Apache.||?||?|
|Darknet is an open-source framework developed by Joseph Redmon.||?||?|
|Keras is an open source high-level API capable of running on top of several other frameworks.||?||?|
|Onnx is an open-source graph model and standardized operator definition. It works in conjunction with several frameworks. It was created by Facebook and Microsoft.||Coming Soon||?|
The Xilinx AI Platform supports many AI/ML Models supported as shown below. We are continually working to bring the latest models into our platform.
|Application||Task||Algorithm||Data Center AI Platform Support||Edge AI Platform Support|
|General||Image classification||Googlenetv1, Resnet50, Resnet101, Resnet152 Inception v1, BN-inception, VGG16, SqueezeNet, Mobilenet , MobilenetV2||??(Subset)||??(Subset)|
|Object Detection||MobilnetV2-SSD, SSD, YOLO v2, YOLO v3, Tiny YOLO v2, Tiny YOLO v3||??(Subset)||?|
|?Face||Face detection||SSD, Densebox||?||?|
|Landmark Localization||Coordinates Regression||?||?|
|Face recognition||ResNet + Triplet / A-softmax Loss||?||?|
|Face attributes recognition||Classification and regression||?||?|
|Pose Estimation||Coordinates Regression||?||?|
|Object detection||SSD, RefineDet||?||?|
|Pedestrian Attributes Recognition||GoogleNet||Coming Soon||?|
|Car Attributes Recognition||GoogleNet||Coming Soon||?|
|Car Logo Recognition||Modified Densebox + GoogleNet||Coming Soon||?|
|License Plate Detection||Modified DenseBox||Coming Soon||?|
|License Plate Recognition||GoogleNet + Multi-task Learning||Coming soon||?|
|Object Detection||SSD, YOLOv2, YOLOv3||?||?|
The Data Center AI Platform Supports industry-standard frameworks
You can bring your own trained model or start with one from our model zoo
Xilinx ML suite provides comprehensive optimization for optimal FPGA implementation, together with a runtime and hardware DSA
Target a Xilinx Alveo accelerator card, your own custom card, or FPGA-as-a-Service such as Amazon AWS
The Xilinx Edge AI Platform provides comprehensive tools and models which utilize unique deep compression and hardware-accelerated Deep Learning technology.
The platform provides efficient, convenient and economical inference deployments for embedded-CPU-based FPGAs.
The Xilinx AI team consists of renowned researchers and experienced professionals known for their pioneering work in? the field of deep learning.