A processor which main focus was placed on a better core engine, that supported simultaneous multi-threading for future-looking workloads; a better cache system and neural-net prediction, for lower effective latency; and a sharp eye on efficiency, for impressive performance-per-watt leadership; and a scalable architecture that could be improved over time., A processor-based servers offer leadership performance and efficiency to enable material workload consolidation, allowing more space and energy to support new AI workloads in your existing data centers., AMD accelerators series that are uniquely well-suited to power even the most demanding AI and HPC workloads, offering exceptional compute performance, large memory density, high bandwidth memory, and support for specialized data formats., AMD accelerator card that comes with industry-standard framework support with AI Engines that is designed for AI inference efficiency and is tuned for video analytics and natural language processing applications., Adaptive SoCs that deliver high-performance, low-latency AI inference for intelligence across a broad of embedded applications with AI Engines that deliver outstanding compute performance., Advanced graphic cards that enable users to harness the power of on-device AI processing to unlock new experiences and gain access to personalized and fast AI performance., Spatial dataflow NPU architecture consists of a tiled array of AI Engine processors that includes a vector processor, a scalar processor, and local data and program memories, Processor series with built-in AI Engines designed to accelerate multitasking, increase productivity, and advance collaboration., Multiprocessing platform devices that provide 64-bit processor scalability while combining real-time control with soft and hard engines for graphics, video, waveform, and packet processing to create unlimited possibilities for applications such as 5G Wireless, Next-generation ADAS, and Industrial Internet-of-Things.,

AMD Flash Card

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