Software developers and ML engineers want to run their applications as fast as possible, but they also care a lot about the ease of programming and deployment. This is why they prefer Python, Java or C++ instead of C or other lower level programming languages. In other words, not only…

In Kubernetes, an operator is an application-specific controller that can help you package, deploy, and manage a Kubernetes application. Ordinarily, you run and manage Kubernetes applications via the Kubernetes application programming interface (API) and kubectl tooling. …

Motorcycle crashes account for a disproportionate number of motor vehicle deaths and injuries in the U.S and worldwide. Motorcycle helmet use can lead to an estimated 42% reduction in risk for fatal injuries and a 69% reduction in risk for head injuries. …

Vitis AI is Xilinx’s development stack for hardware-accelerated AI inference on Xilinx FPGA platforms, including both edge devices and data-center FPGA cards. It consists of optimized IP, tools, libraries, and pre-trained models. It allows data scientists to fully utilize the potential of AI acceleration on Xilinx FPGAs. Vitis AI provides…

“Multi-cloud” means multiple public clouds. A company that uses a multi-cloud deployment incorporates multiple public clouds from more than one cloud provider. Instead of a business using one vendor for cloud hosting, storage, and the full application stack, in a multi-cloud configuration they use several¹ . Multi-cloud deployments have several…

In this tutorial, we will lay out the absolute easiest way to begin using FPGA resources in Kubernetes clusters. To really simplify things, we will describe the process for enabling FPGAs in terms of the Rancher user interface. The Rancher UI is simply a client to the Rancher RESTful APIs…

Customized compute acceleration in the datacenter is key to the wider roll-out of applications based on deep neural network (DNN) inference. A great article by Xilinx Research Labs shows how to maximize the performance and scalability of FPGA-based pipeline dataflow DNN inference accelerators (DFAs) automatically on computing infrastructures consisting of…

AMD’s (AMD) $35 billion deal to acquire Xilinx (XLNX) has been recently approved by shareholders of both chipmakers. However there are several cases in the domain of deep learning that GPUs are considered more powerful than FPGAs. Then, why AMD decided to acquire Xilinx for $35 billion instead of further…

FPGAs have been emerged as a high-performance computing platform that can meet the demanding AI requirements in terms of throughput, latency and energy-efficiency. FPGA vendors like Xilinx, Intel and Achronix have developed great FPGA platforms for data center and edge applications. However a main challenge on the domain of AI/ML…