AMD EPYC 9755 (Turin) 128-Core Processor 100-000001584

Brand: AMD EPYC | Category: CPUs

SKU: AMDEPY-100-000001584 | Part #: 100-000001584 | MPN: 100-000001584

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The AMD EPYC 9755 (Turin) processor delivers 128 cores and 256 threads on the SP5 socket with 12-channel DDR5 ECC memory support at up to 6400 MT/s, engineered for mission-critical enterprise infrastructure. Built on TSMC's advanced 3nm (N3) process node and featuring AMD EPYC's Zen 5c microarchitecture, this dual-socket capable processor (part number 100-000001584) combines 256 MB of L3 cache with a base frequency of 2.7 GHz and boost speeds reaching up to 4.1 GHz. With a 360W TDP and native PCIe 5.0 support across 128 lanes, the AMD EPYC 9755 is designed for data center teams requiring maximum per-socket performance density.

Security and scalability define this processor's architecture. AMD SEV-SNP, TSME, and AMD Infinity Guard protections ensure confidential computing capabilities for sensitive workloads, while x86-64 instruction set compatibility maintains broad software ecosystem support. The combination of 12 memory channels, high-speed DDR5 support, and 128 PCIe 5.0 lanes positions the 9755 as the cornerstone for next-generation storage arrays, AI infrastructure, and large-scale database platforms where throughput and memory bandwidth are non-negotiable. IT procurement teams and infrastructure architects will find the dual-socket configuration ideal for scaling compute density within physical rack constraints. Contact Omnixon Global for a detailed RFQ on the AMD EPYC 9755 processor (100-000001584) and certified platform configurations.

Typical Enterprise Deployment Scenarios

• High-performance computing clusters and scientific simulation workloads leveraging 256 threads per socket
• Virtualized data center infrastructure requiring maximum VM density and memory bandwidth
• Real-time analytics and in-memory database platforms with 12-channel DDR5 throughput
• Secure, confidential computing environments utilizing AMD SEV-SNP isolation technology
• PCIe 5.0 accelerator ecosystems for GPU and FPGA-intensive AI training and inference applications