| Management number | 241241922 | Release Date | 2026/07/17 | List Price | $1,871.10 | Model Number | 241241922 | ||
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The AMD 100-000000803 is a server processor built on the EPYC 9004 platform, designed to deliver exceptional compute density for demanding enterprise environments. With 96 cores and 192 threads, it provides the parallel processing power needed for virtualization hosts, database clusters, and analytics workloads. Its 2.4 GHz base clock ensures steady performance under continuous load, while boost speeds up to 3.7 GHz handle peak demands efficiently. The large 384 MB L3 cache minimizes latency by keeping critical data close to the cores, making it well suited for complex queries and real-time data processing.
This processor is designed to fit into servers equipped with the SP5 socket, which is standard for the latest generation of enterprise motherboards. This ensures compatibility with a wide range of server platforms optimized for high-density computing and advanced memory configurations. Its architecture supports modern 64-bit operating systems and software environments commonly used in data centers and cloud infrastructures.
The combination of a high core count and large cache allows this CPU to maintain consistent throughput even under heavy multitasking and parallel processing scenarios. Its thermal design power of 360 W requires careful cooling solutions, but this also reflects the processor’s ability to sustain demanding workloads without throttling. The EPYC 9004 architecture is built to deliver reliable performance for extended periods, making it a solid choice for mission-critical applications.
This processor excels in environments where workload consolidation and high parallelism are priorities. It is well suited for data centers running virtualization, cloud service providers hosting multiple tenants, research labs performing simulations, and enterprises managing large-scale ERP or analytics systems. Its design supports efficient operation even when all cores are fully utilized, helping organizations reduce hardware footprint while increasing computational capacity.
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