Intel® Xeon® 6 Processors with Performance-cores (P-cores)
Built for compute-intensive HPC and AI Workloads
now available in the MEGWARE Benchmark Center
The best processors to meet your diverse performance & efficiency requirements.
The new Intel® Xeon® 6 processors with P-Cores (Granite Rapids AP) are now available. They are equipped with more cores, double the memory bandwith and AI acceleration in every core, which provide twice the performance to tackle the biggest challenges across AI, HPC and data analytics workloads.
Businesses are looking to save money and time in deploying state-of-the-art AI models for language, vision and image recognition, and recommendation systems, as well as to generate deeper insights from HPC-fueled simulation and advanced analytics. Intel® Xeon® 6 processors with P-cores empower businesses to act on these opportunities by providing a large number of high-performance cores with innovative matrix and vector engines as well as ultrahigh memory and I/O bandwidth.
High Performance for a Vast Range of Workloads
With the flexibility to scale up to 128 cores, 12 memory channels, and 96 PCIe lanes per socket, Intel® Xeon® 6 processors with P-cores help businesses meet their varying application requirements. For IT teams looking to alleviate memory bandwidth bottlenecks, innovative Multiplexed Combined Rank (MRDIMM) delivers up to 8,800 mega transfers per second (MT/s) while contributing to low TCO by completing jobs fast.
Powerful AI Performance from a CPU
Intel® Xeon® 6 processors with P-cores are designed to support many demanding AI use cases. P-cores help to meet service-level agreements (SLAs) for several AI models, ranging from object detection to midsize GenAI, while offering open standards, high performance, RAS features, and support for additional accelerators as needed.
Performance-per-Watt for General Purpose Workloads
Intel® Xeon® 6 processors with P-cores excel at the complete spectrum of workloads. The efficiency of all Intel® Xeon® 6 processors is highlighted by their ability to provide scalable performance per watt as server utilization increases, delivering nearly linear power-performance consumption across the load line. For performance-demanding workloads, this means the platform efficiently uses power at high loads to help finish jobs fast.