Server processor AMD EPYC 9455P, 48 cores / 96 threads, 3.15–4.4 GHz, 256 MB L3, Socket SP5, 300 W TDP, DDR5, 128 PCIe 5.0 lanes

Processor AMD EPYC 9455P 3.15 GHz 256 MB L3 Socket SP5 is a server-grade CPU from the 5th Gen AMD EPYC family designed for data center, cloud, and AI workloads. Operating at a base frequency of 3.15 GHz with boost up to 4.4 GHz, the AMD EPYC 9455P provides 48 cores, 256 MB L3 cache and support for dodeca-channel DDR5 memory, delivering high memory bandwidth and capacity for demanding virtualization and compute tasks.

Advantages

The AMD EPYC 9455P offers high integer and multithreaded performance using Zen 5 cores, optimized power efficiency and reduced total cost of ownership for server deployments. With large L3 cache and wide DDR5 memory support it can increase per-server throughput and reduce rack count and power consumption compared with older generations. The platform is also suitable as a host CPU in GPU-accelerated systems to improve overall system performance for selected AI inference workloads.

Suitable for

• Virtualization and cloud hosting (high vCPU density)
• CPU-based AI inference and ML workloads (models up to medium size)
• Database servers and analytics with high memory bandwidth needs
• GPU-host servers where CPU throughput affects overall GPU utilization

Key specifications

• Processor family: AMD EPYC (5th Gen)
• Model: 9455P
• Base frequency: 3.15 GHz; Boost frequency: up to 4.4 GHz
• Cores: 48 (Zen 5)
• Cache: 256 MB L3
• Socket: SP5
• Memory: dodeca-channel DDR5-SDRAM; max memory bandwidth reported up to 576 GB/s
• On-board graphics: not available

How to use

Install the AMD EPYC 9455P into a compatible Socket SP5 server motherboard following the server vendor’s installation guide and thermal requirements. Pair the processor with appropriate DDR5 memory modules in the supported channel configuration to achieve the stated memory bandwidth. Configure BIOS/firmware settings recommended by the server vendor for performance or energy-efficiency profiles, and deploy the operating system and hypervisor according to workload needs.

Recommendations

For best results, use enterprise-grade DDR5 modules across all supported channels, ensure adequate cooling and power delivery, and follow platform firmware updates from the server vendor to maintain performance and security. When used as a host for GPU-accelerated systems, match CPU and GPU capabilities to your target AI model size to optimize throughput and ROI.