AMD EPYC 9575F (Turin, Zen 5, 64-core, high frequency)

The AMD EPYC 9575F is a member of the 5th Generation EPYC processor family, codenamed Turin, built on the advanced Zen 5 microarchitecture and fabricated using TSMC's 4nm-class process node. As an 'F' SKU within the Turin lineup, the 9575F is frequency-optimized, achieving a maximum boost clock of 5.0 GHz while maintaining 64 physical cores — a combination that makes it exceptional at single-threaded and lightly-threaded orchestration tasks that are critical in AI and HPC cluster head node deployments. The Zen 5 architecture introduces a wider front-end, improved branch prediction, doubled AVX-512 throughput, and a redesigned load-store pipeline, yielding substantial IPC gains over prior generations that directly benefit latency-sensitive control-plane workloads.

The EPYC 9575F is engineered specifically for AI cluster environments where a high-frequency CPU manages job scheduling, MPI coordination, data preprocessing pipelines, and GPU workload dispatch across large-scale GPU farms. In these roles, per-core performance and memory bandwidth are far more impactful than raw core count alone, and the 9575F's elevated base and boost frequencies reduce the CPU bottleneck that would otherwise limit GPU utilization across multi-rack NVLink or Infiniband-connected accelerator arrays. The processor supports 12-channel DDR5 memory per socket with speeds up to DDR5-6400, providing up to 576 GB/s of peak memory bandwidth per socket, ensuring data can be staged and streamed to PCIe-attached GPUs without pipeline stalls.

Launched in Q4 2024, the EPYC 9575F integrates 128 lanes of PCIe 5.0 per socket, enabling direct high-bandwidth attachment of multiple data center GPUs, NVMe storage drives, and high-speed networking adapters without bandwidth contention. It is compatible with the SP5 platform socket, allowing infrastructure operators to deploy it within existing Turin-generation 1P and 2P server designs. With support for AMD Infinity Guard security features — including SEV-SNP for confidential computing workloads — the 9575F addresses enterprise requirements around data isolation in multi-tenant AI training and inference environments.

Ideal for

• AI/ML cluster head node: Orchestrating job scheduling, MPI task dispatch, and GPU workload coordination across large-scale GPU accelerator farms with minimal CPU-induced latency
• High-frequency inference serving: Acting as the CPU component in GPU inference servers where low-latency preprocessing, tokenization, and batching logic benefit directly from 5.0 GHz boost performance
• HPC simulation orchestration: Managing parameter sweeps, checkpoint coordination, and inter-node communication for computational fluid dynamics, molecular dynamics, and finite element analysis clusters
• Data preprocessing pipelines: Running real-time ETL, feature engineering, and data augmentation workloads that feed continuous training loops on attached GPU nodes
• Confidential AI computing: Leveraging AMD SEV-SNP to provide hardware-enforced memory encryption and virtual machine isolation in multi-tenant AI infrastructure deployments
• Financial risk modeling: Executing Monte Carlo simulations and real-time risk analytics where high per-core clock frequency accelerates sequential calculation chains that cannot be fully parallelized

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.