AMD EPYC 7D12 32C 1.1GHz 2.4GHz 128MB Socket SP3 1P 180W Server Rome
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The AMD EPYC 7D12 was a server processor with 32 cores, launched in September 2019 as part of the EPYC 7002 series. It is based on the Zen 2 microarchitecture and utilizes the SP3 socket (Socket TR4). With AMD's Simultaneous Multithreading (SMT) technology, the core count is effectively doubled to 64 threads, delivering exceptional parallel processing capabilities for demanding workloads.

The EPYC 7D12 operates at a base clock of 1.1 GHz and can boost up to 2.4 GHz depending on thermal conditions and workload demands. It features a massive 128 MB of L3 cache, significantly improving data access speeds for large-scale server applications. Built on a 7 nm manufacturing process, this processor incorporates advanced power efficiency while packing billions of transistors for high performance.

With a TDP of 180 W, the EPYC 7D12 requires robust cooling solutions, especially in high-density server environments. It supports eight-channel DDR4 memory with speeds up to 3200 MHz, ensuring high bandwidth for memory-intensive tasks. ECC (Error-Correcting Code) memory is fully supported, making it suitable for mission-critical enterprise and data center applications where data integrity is paramount.

For system expansion and connectivity, the EPYC 7D12 provides 128 PCIe 4.0 lanes, enabling high-speed storage and networking solutions. Unlike consumer-grade processors, this chip lacks integrated graphics, so a dedicated GPU is necessary for display output.

Hardware virtualization (AMD-V) is fully supported, enhancing virtual machine performance and security. Additionally, the processor includes advanced security features such as Secure Memory Encryption (SME) and Secure Encrypted Virtualization (SEV), making it ideal for cloud computing and secure server deployments.

The EPYC 7D12 is optimized for single-socket (1P) configurations, making it a cost-effective yet powerful solution for enterprise servers, cloud computing, and high-performance computing (HPC) workloads.
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