Accelerates image encoding and decoding and pixel processing through FPGA computing. For example, with FPGA, the JPEG image decoding, scaling, and encoding processes are completed up to five times faster than that of traditional CPU servers, and the computing delay is reduced by more than three times.
Supports both ImageMagick and OpenCV, two types of mainstream open-source software for image processing. Retains software flexibility and customization while greatly improving the system processing performance. You can enjoy the service without having to change the layout in your systems and programs.
Accelerated JPEG image encoding and decoding
Supports hardware acceleration processing such as Resize and Crop.
Image Processing Acceleration
FPGA-based image processing acceleration uses the hardware flow design and parallel tasks to greatly improve the image processing performance of the server. It can be widely used in cloud albums, image social platforms, UGC platforms, portals, news apps, and e-commerce platforms.
Test results show that the FP1 single-card instance provides 3 to 10 times higher performance than CPU VMs of the same specifications in JPG image processing.
Compared with the ASIC hardware, FPGA is flexible and programmable. It is suitable for applying coding algorithms to hardware when the coding standard changes constantly. You can deploy the JPG, Webp, and HEIF algorithms as needed.
Compared with encoding servers of self-built data centers, the FPGA Image Transcoding Acceleration service enables you to expand capacity during peak hours and process abrupt traffic on the cloud.