Cisco has introduced its first Unified Compute System (UCS) server designed specifically to handle artificial intelligence (AI) and machine learning (ML) workloads. The Cisco UCS C480 ML is designed specifically for data scientists to perform AI and ML at every stage of the lifecycle.\nIt\u2019s not like Cisco whipped up all kinds of special sauce for this server; it\u2019s just a lot of very high-end components. The UCS C480 ML M5 rack server is a 4U device with the latest Intel Xeon processors and 8 Nvidia Tesla V100-32G GPUs with NVLink interconnects.\nThe top-of-the-line configuration features two Xeon processors, up to 128GB of DDR4 RAM, 24 SATA hard drives or SSDs, six NVMe SSD drives, and four x100G Virtual Interface Cards (VICs). The UCS C480 ML M5 is designed to work with Cisco's various servers and HyperFlex systems with GPUs.\n\nCisco says it is covering each stage of the AI and ML lifecycle with this server. That ranges from data collection and analysis near the edge to data preparation and training in the data center, to the real-time inference at the heart of AI. It\u2019s designed to let customers extract more intelligence from their data and use it to make better, faster decisions.\nWith its new DevNet AI Developer Center and DevNet Ecosystem Exchange, Cisco is also giving data scientists and developers the tools and resources to create a new generation of apps.\nCisco UCS features\u00a0\nThere is actually quite a bit of software news around this announcement. The UCS server is designed to work with containerized apps and multicloud computing models for AI systems with data sets stored across multiple servers and services.\nIt\u2019s fully compatible with Cisco\u2019s AI solutions stack, which includes Cloudera\u2019s Data Science Workbench, which supports frameworks such as TensorFlow and PyTorch, Hortonworks\u2019 Hadoop 3.1, containerized Apache Spark and Google TensorFlow analytic workloads, and MapR data pipelines.\nCisco is also working with Hortonworks to validate Hadoop 3.1 in a design where the Cisco UCS C480 ML is part of the big data cluster, storing data on the C480 ML disk drives, and supporting Docker containers running analytic workloads such as Apache Spark and Google TensorFlow that require both CPUs and GPUs.\nThe Cisco UCS C480 ML M5 Rack Server builds on Cisco\u2019s portfolio of UCS B-Series, C-Series, and HyperFlex systems. It will be available to buy from Cisco partners in Q4 2018, along with a range of AI and ML support capabilities from Cisco Services that span analytics, deep learning and automation.