Blazing high-core throughput
64 cores (128 threads) provide enormous parallelism for HPC and cloud-native builds.
64 Cores • 128 Threads • 256 MB L3 Cache • Up to 4.40 GHz Boost: Zen 5 Power Optimized for AI Inference, Compute & HPC Workloads
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64 cores (128 threads) provide enormous parallelism for HPC and cloud-native builds.
Up to 4.40 GHz boost ensures responsiveness across varied workloads.
256 MB L3 and 12-channel DDR5-6000 offer stellar data handling and reduced latency.
128 PCIe 5.0 lanes allow for multi-GPU, NVMe, CXL, and accelerator configurations.
High boost and memory speed make it ideal for CPU-based ML and AI workloads.
Avoids dual-CPU licensing and platform complexity while delivering server-grade power.
Efficiently run LLMs (13B+), embeddings, and low-latency inference pipelines without GPUs.
Harness PCIe 5.0 bandwidth to support H100/A100 GPU clusters with minimal bottleneck.
Drive scientific simulations, large-scale data processing, and financial risk analysis.
Host Redis, Spark, or PostgreSQL at TB memory scale with low-latency access.
Replace expensive cloud infrastructure with powerful, scalable, and fully managed bare metal.
Training-free inference bundles on CPUs, ideal where GPUs aren't feasible.
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Common questions about the AMD EPYC 9555P, answered by the engineers who run the hardware.
Yes, the SP5 platform supports sustained 360 W operation; our data centers offer advanced rack cooling for full utilization.
With 128 PCIe 5 lanes you can deploy up to 4-8 GPUs via PCIe risers; NVLink and NVSwitch kits are available upon request.
The non-P version supports dual-socket configurations. The 9555P focuses on a powerful single-socket setup with identical performance.
Single SP5 boards support up to 6 TB DDR5 per socket; dual-socket setups can reach 12 TB.
Yes, supports CXL 2.0 for memory-expansion or accelerators.
Fully compatible with PyTorch, TensorFlow, JAX, HPC frameworks (MPI, OpenMP), Redis, PostgreSQL, and virtualization (KVM, Docker).
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