PerfBLAS
PerfBLAS is an optimized BLAS library for deep learning on ARM embedded system.
PerfBLAS can improve AlexNet model about 100% on ARMv7 and ARMv8 CPU cores.
PerfBLAS supports Linux and Android OS.
InferXLite
InferXLite is a lightweight deep learning inference framework for embedded systems. It supports ARM CPUs, ARM Mali GPUs, AMD APU SoCs, and NVIDIA GPU.
We provide the tool to covert DNN models (including Caffe model format and Darknet model format). In future, we will support other model formats.
PerfBox
PerfBox is an ARM 64-bit embedded board. With InferXLite, and PerfBLAS AI software stack, we achieved squeezenet v1.1 model 87ms on single CPU core.
PerfBox is used by smart camera, facial recognition system, new retail, and etc.
Perf-FPGA
Perf-FPGA is the AI computing solution for FPGA embedded system. It supports deep learning based objects dection and tracking.
We already deploy Perf-FPGA solution in drone, video surveilance, and eduction application.
Perf-FPGA includes DL-Quants, DL-Compiler, and DL-Accelerator.
Perf-APU
Deep learning application on AMD APU solution:
- High Performance: Combining high performance InferXLite+PerfDNN and AMD APU SoC, we can achieve realtime deep learning inference.
- Low power: TDP 15W, 12-25W configurable
- Support various models: YOLO V3/V2, SSD object detection models.
- Support image processing, object detection and tracking.
- Support H.264/H.265 Video & Camera
- Provide integrated development board and InferXLite software stack.
Perf-V
Perf-V is a FPGA demo board designed for RISC-V opensource community. It integrates various peripheral chips and offers many interfaces.
Perf-V has great flexibility and transplant multiple architectures. We prepare various materials for you to learn out product and offer a perfect experiment platform for the design of RISC-V and FPGA products. It is a preferred hardware for you to study, develop programs and make a demo.
