
AMD EPYC 9745 128c/256t 2.4GHz-3.7GHz 400W (100-000001460)
P/N: 100-000001460
4 877€ (excl. TAX)
5852 € RRP en AMD.com
The recommended retail price provided by the product’s manufacturer.
Delivery is made within 3-7 days
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Warranty 1 year
The product is covered by the manufacturer’s standard warranty.
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AMD EPYC 9745 128-core Turin CPU with fast EU delivery and worldwide shipping. Official warranty included.
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Technical Specifications Product
| Dimensions | 17 × 17 × 10 cm |
|---|---|
| Country of manufacture | Taiwan |
| Manufacturer's warranty (years) | 1 |
| Series | EPYC |
| Number of cores | 128 |
| Number of threads | 256 |
| Clock frequency (GHz) | 2.4 |
| Cache L3 (MB) | 256 |
| Cache L2 (MB) | 1 |
| Process technology (nm) | 3 |
| Maximum Turbo Frequency (GHz) | 3.7 |
| Memory type | DDR5 |
| Maximum memory channels | 12 |
| Maximum memory frequency (MHz) | 6400 |
| Heat dissipation TDP (W) | 400 |
| PCI Express controller | PCIE 5.0 |
| Number of PCI Express lanes | 128 |
| Processors on a motherboard | 2 |
| Length (cm) | 17 |
| Width (cm) | 17 |
| Architecture | Zen 5 |
| Socket | SP5 |
Product description
AMD EPYC 9745 — Expert Technical Analysis
The AMD EPYC 9745 sits at the upper end of the Zen 5 “Turin” lineup, offering 128 cores and 256 threads tuned for maximum sustained throughput rather than per-core speed. It embodies the architectural direction of modern datacenters: scale-out computing, high thread parallelism and balanced memory bandwidth capable of feeding large numbers of cores simultaneously. The 9745 is engineered to operate efficiently under full-socket utilization, making it ideal for data-intensive compute frameworks, distributed analytics and large-scale virtualization environments.
Zen 5’s core-level improvements—refined branch prediction, higher instruction retirement efficiency and a more stable load/store subsystem—allow the 9745 to deliver more consistent throughput compared to Genoa processors of similar density. Its performance does not collapse during long-duration multi-core saturation, a common problem in dense CPU configurations. This stability makes it suitable for analytics systems, distributed SQL clusters, real-time data platforms and parallel compute pipelines that require uniform execution behavior.
The processor’s 12-channel DDR5 memory subsystem at 6400 MT/s plays a critical role in enabling its high core count. Many large-scale workloads, such as distributed storage engines, columnar analytics and large dataset scanning, depend more on memory bandwidth throughput than raw core count. The 9745 provides enough bandwidth headroom to keep all cores effectively utilized, minimizing memory contention even in heavy multithreaded applications.
The platform’s I/O capabilities also expand the CPU’s applicability. With access to 128 PCIe 5.0 lanes, the 9745 is suitable for heterogeneous compute configurations involving GPUs, DPUs, SmartNICs and large NVMe storage clusters. This allows organizations to build composable architectures where compute, storage and acceleration resources can be dynamically combined without I/O bottlenecks.
In cloud and virtualization environments, the EPYC 9745 serves as a hyper-consolidation node. High thread count and stable latency characteristics make it suitable for hosting dense clusters of virtual machines or containers. Unlike older high-core CPUs where tail latency degraded significantly at high consolidation ratios, Zen 5’s internal scheduling improvements allow the 9745 to maintain more predictable performance across multi-tenant deployments.
The 9745’s efficiency profile also makes it appealing to datacenters operating under power and cooling constraints. While its 400 W TDP is substantial, the amount of parallel work it performs per watt is significantly higher than previous generations or multi-socket equivalents. This enables more compute capacity within the same rack-level thermal envelope.
In practice, the AMD EPYC 9745 excels in environments where maximum sustained throughput defines success: distributed analytics clusters, large-scale virtualization, HPC workloads with uniform parallelism, CPU-bound preprocessing for AI pipelines and cloud-native compute fabrics. It is built for organizations that evaluate CPU performance at the datacenter scale, where architectural balance and workload saturation matter more than single-thread metrics.
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Fast and reliable delivery across the European Union
Estimated transit time: 14–21 days from order confirmation. Worldwide shipping is available for customers outside the EU.
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