On-Demand Academy Bundles
…using the Vitis™ unified software platform Productively use AMD Vivado™ design tools in RTL-based designs Accelerate your design and AI in edge and cloud-based applications Questions? Email Us Frequently Asked…
…using the Vitis™ unified software platform Productively use AMD Vivado™ design tools in RTL-based designs Accelerate your design and AI in edge and cloud-based applications Questions? Email Us Frequently Asked…
…AI Engines and DSP Engines natively support various data types, including highly efficient single-precision floating-point for greater dynamic range, which is critical in radar applications. The Versal Premium series provides…
…May 19, 2026 AMD™ Data Intelligence Platform and AI Researcher AIR helps AMD™ IT teams turn Data Intelligence Platform data into explainable, prioritized insights through a natural-language experience. May 15, 2026…
…using applications that are run with popular AI models like GPT 4, Llama 3.1 405B, and many of the one million+ open source models on the Hugging Face platform. That level…
…In collaboration with AMD Silo AI , Delphyr is now scaling its platform for clinical settings, where speed, privacy, and reliability are essential. Addressing the core requirements for healthcare AI While large language…
…In HP workstation platforms, Ryzen Threadripper PRO processors combine workstation-class performance with enterprise-grade security features and manageability. AMD Ryzen PRO processors in HP business PCs and workstations include integrated AI…
…AMD ZenDNN Library The AMD ZenDNN library enables deep learning application and framework developers to improve AI inferencing performance on AMD EPYC processors. AMD Ryzen AI Software Take ML models trained in…
…Demo applications: Please check Vitis Accel Example for demo applications for these platforms. The ‘common image’ packages below contain a prebuilt Linux kernel and root file system that can be used with…
…Leveraging the on-chip AI Engines optimized for signal processing and ML inference, this platform is ideal for developing compute-intensive, latency-sensitive DSP and ML applications. View Product Resources Design Flow…
…platforms, we use an INT4-quantized ONNX version of the model. INT4 is natively supported by the Ryzen™ AI NPU, enabling higher throughput and improved power efficiency with minimal quality degradation. In…