AMD EPYC 9575F (5th Gen EPYC 'Turin' high-frequency)

The AMD EPYC 9575F is a 5th Generation EPYC 'Turin' processor built on the Zen 5 microarchitecture using TSMC's advanced 3nm and 6nm process nodes in a chiplet design. With 64 cores operating at a 3.1 GHz base clock and a 5.0 GHz maximum boost frequency, this SKU occupies the high-frequency segment of the Turin family, making it the preferred choice where single-thread responsiveness and sustained throughput must coexist at scale. The processor integrates AMD's Infinity Fabric 4th generation interconnect, 256 MB of AMD 3D V-Cache-class L3 cache topology, and supports DDR5-6000 memory across 12 channels, delivering exceptional memory bandwidth to keep data-hungry AI accelerators continuously saturated.

The EPYC 9575F is specifically optimized as a GPU head node—the CPU-side orchestrator in dense GPU compute clusters running frameworks such as PyTorch, JAX, and NVIDIA CUDA stacks. Its combination of high per-core frequency and generous PCIe 5.0 lane count (160 lanes per socket) means it can simultaneously service multiple full-bandwidth GPU cards, high-speed NVMe storage arrays, and 400G networking fabric without creating a CPU-side bottleneck. The Zen 5 IPC improvements—estimated at 16% over Zen 4 per clock—further reduce scheduling latency in inference pipelines and HPC pre/post-processing stages.

Launched in Q4 2024, the EPYC 9575F slots into the SP5 platform alongside the broader Turin family, providing a single-socket or dual-socket deployment path. Single-socket configurations are particularly compelling for inference serving nodes where one EPYC 9575F drives four to eight high-end GPUs, maximizing rack compute density while minimizing inter-socket coherency overhead. The processor also supports AMD SEV-SNP hardware-level memory encryption, enabling confidential AI workloads in multi-tenant cloud and enterprise environments.

Ideal for

• GPU head node in large-scale generative AI inference clusters, orchestrating data movement to 4–8 high-bandwidth accelerators per socket with full PCIe 5.0 bandwidth
• Large language model (LLM) fine-tuning preparation nodes handling tokenization, batching, and gradient checkpointing at high single-thread frequency
• High-frequency financial risk modeling and Monte Carlo simulation requiring both high core count and fast per-core execution for latency-sensitive analytics
• Real-time video transcoding and AI-enhanced media processing pipelines where sustained boost clocks reduce per-frame latency across concurrent streams
• HPC pre/post-processing front-end nodes in supercomputing clusters, managing job scheduling, MPI coordination, and I/O staging for GPU-accelerated simulation backends
• Confidential AI inference using AMD SEV-SNP for multi-tenant SaaS platforms requiring hardware-enforced memory isolation between customer workloads

Technical specifications

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