The chip is a derivative of Intel’s existing 14-nm technology (first released in 2016 in server processors). Additionally, it supports Intel Optane™ Data Center (DC) Persistent Memory. Cascade Lake SP–based models are branded as the Intel Xeon Bronze, Silver, Gold, and Platinum processor families.Ĭascade Lake is set to run at higher frequencies than the current and older generations of the Intel Xeon Scalable products.
Cascade Lake SP–based chips are manufactured using an enhanced 14-nanometer (14-nm++) process and use the Lewisburg chip set. These third-generation processors support up to eight-way multiprocessing, use up to 28 cores, incorporate a new AVX512 x86 extension for neural-network and deep-learning workloads, and introduce support for persistent memory. Disruptive by design, this innovative processor family supports new levels of platform convergence and capabilities across computing, storage, memory, network, and security resources.Ĭascade Lake (CLX-SP) is the code name for the next-generation Intel Xeon Scalable processor family that is supported on the Purley platform serving as the successor to Skylake SP. Intel Xeon Scalable processors provide a foundation for powerful data center platforms with an evolutionary leap in agility and scalability. Third-generation Intel Xeon Scalable processors: Ice Lake (ICX-SP) The document provides guidance for the starting configuration of some of the next generation of Intel ® Xeon ® Scalable processors found in the Cisco Unified Computing System ™ (Cisco UCS ®) portfolio for the most common virtual desktop infrastructure (VDI) user persona type, the knowledge worker. Often, lack of details (or inaccurate information) about the input data and the workload type leads to uncertain estimations about the rightsizing of the hardware (CPU type, core count and clock speed, memory capacity, etc.), leading to suboptimal resource utilization. Choosing the CPU for enterprise applications is not an easy task, whether you use a simple quick calculation to determine your needs or perform exhaustive capacity planning with analytical model simulations for workloads and their future growth.
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