| Management number | 241241840 | Release Date | 2026/07/17 | List Price | $545.70 | Model Number | 241241840 | ||
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The Intel PK8071305127000 is a high-performance workstation processor designed to tackle demanding professional applications. With 16 cores and 32 threads running at a base clock of 3.10 GHz and boosting up to 4.70 GHz, it delivers the processing power needed for tasks such as 3D rendering, software development, and scientific simulations. Its support for up to 2TB of DDR5 memory and PCIe 5.0 with 64 lanes ensures fast data handling and compatibility with the latest hardware, making it a solid choice for professionals requiring robust multi-threaded performance.
This processor is compatible with motherboards featuring the FCLGA4677 socket, ensuring support for the latest workstation platforms. Its PCIe 5.0 interface with 64 lanes provides extensive connectivity options for high-speed peripherals, including advanced graphics cards, NVMe storage, and networking adapters. The support for DDR5 memory further enhances system responsiveness and throughput, making it suitable for setups that demand cutting-edge performance and expandability.
Built to sustain demanding workloads, this processor balances high clock speeds with a substantial core count to deliver consistent performance across multi-threaded applications. The inclusion of Intel Deep Learning Boost and AMX acceleration technologies accelerates AI-related tasks, while the large Smart Cache reduces bottlenecks during data-intensive operations. Its power design supports sustained turbo frequencies without compromising system stability, making it reliable for extended professional use.
This processor fits well in professional environments where complex computations and multitasking are routine. It is a strong choice for engineers, designers, researchers, and developers who require a processor capable of handling 3D modeling, scientific simulations, software compilation, and AI workloads. Workstations equipped with this CPU can efficiently manage large datasets and demanding applications, making it suitable for studios, research labs, and enterprise-level computing setups.
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