| Management number | 241241961 | Release Date | 2026/07/17 | List Price | US$542.10 | Model Number | 241241961 | ||
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The AMD 100-000000140 is a high-performance server processor from the EPYC 7F52 series designed to deliver enterprise-grade compute power for demanding workloads. It features 16 physical cores and supports simultaneous multithreading, enabling 32 threads to run in parallel. With a base clock speed of 3.5 GHz and boost frequencies up to 3.9 GHz, this processor handles database queries, container clusters, and virtual machine environments efficiently. Its large 256 MB L3 cache reduces memory latency, making it well suited for analytics, in-memory databases, and latency-sensitive applications.
This processor supports the SP3 socket standard, allowing installation in a wide range of server motherboards designed for single or dual CPU configurations. The PCIe 4.0 interface provides enhanced bandwidth for connecting high-speed NVMe storage devices, network adapters, and accelerators such as GPUs or FPGAs. This makes it a versatile choice for data centers aiming to maximize throughput and reduce bottlenecks in I/O-intensive applications.
Built on a 7 nm manufacturing process, the processor offers a strong balance between performance and power efficiency. Its 240 W thermal design power ensures that cooling requirements are predictable, which is critical for maintaining stable operation in dense server racks. The large L3 cache and high clock speeds contribute to reduced latency and faster data processing, supporting workloads that demand both speed and reliability.
This processor is well suited to cloud service providers, virtualization architects, and enterprise IT teams who need to scale compute capacity quickly. It excels in environments running mixed virtual machine fleets, database servers, and high-frequency trading platforms where low latency and high throughput are essential. Its compatibility with dual-socket boards also allows for flexible scaling without major platform changes, making it a strong choice for growing data centers and demanding compute clusters.
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