As a widely loved AI acceleration development platform, Vitis AI has ushered in a new release, which is now available on June 15th.
We expect AI to play a more critical role in different workloads and device platforms. With tremendous market demand from the data center to the edge, AMD Xilinx has focused on expanding and enhancing the functions of Vitis AI to provide faster AI acceleration. This article provides an overview of the new and enhanced features in the 2.5 release.
Vitis AI 2.0 is now available! As the most comprehensive software-based AI acceleration solution on Xilinx FPGAs and adaptive SoCs, Vitis AI continues to bring value and competitiveness to users’ AI products. With this release, the Vitis AI solution is easier to use and provides additional performance improvements at the edge and data center. This Webinar will introduce the new product features including models, software tools, deep learning processing units, and the latest performance information.
Xilinx netted a double win at 2021 Computer Vision and Pattern Recognition (CVPR) and IEEE International Conference on Computer Vision (ICCV) two of the top 3 worldwide computer vision academic conferences. Both CVPR and ICCV organizations double-honored Xilinx AI products team, which is a strong recognition of the team’s technical strength and innovation in global competitions.
We are excited to announce that for a limited time, you can purchase the VCK5000 Versal development card for AI inference for just $2,495! If you're developing AI inference workloads with pre-built Vitis AI accelerators, be sure to take advantage of this limited-time price.
Delivering 100X greater compute power than today’s server-class CPUs and greater MLPerf inference performance than today’s server-class GPUs, the VCK5000 is an ideal development platform for cloud acceleration and edge computing applications.
Combining artificial intelligence with additional industry applications has always been a priority for acceleration solutions by Xilinx and its ISV ecosystem. Today, on the Xilinx App Store, you will be able to easily obtain an end-to-end commercially deployable solution for facial recognition, fromAupera’s, built on Alveo accelerator cards and Zynq SoCs, delivering, industry leading recognition accuracy and low latency with unsurpassed performance at a low hardware investment, assuring best-in-class TCO.
With the public announcement of the Kria SOM portfolio in April, came many new edge applications on the Xilinx App Store. As a one-stop-shop platform that hosts, markets, and sells great applications from Xilinx ecosystem partners, the App Store now offers accelerated apps & IP cores for both edge and cloud. Uncanny Vision is among one of the earliest Kria SOM users that developed their own ALPR solution with the KV260 starter kit and is now selling on the Xilinx App Store.
Super Resolution refers to the process of reconstructing a higher-resolution image or sequence from the observed lower – resolution images. An image may have a “lower resolution” due to a smaller spatial resolution (i.e., size) or due to a result of degradation (such as blurring). It has a wide range of applications including but not limited to satellite imaging, medical imaging, video surveillance as well as video streaming which is the primary focus of this article.