Intel® Xeon® w7-3545 Processor, 67.5M Cache, 2.70 GHz. - OEM

The Intel Xeon w7-3545 is a workstation processor with 24 cores, 48 threads, up to 4.8 GHz Max Turbo Frequency, and 67.5 MB of cache, suited to professional workstation builds and demanding, highly parallel workloads.

Recommended For

• Engineering and simulation professionals running large CAE models—such as stress, thermal, or fluid analyses—who need workstation-class memory capacity; a tested Xeon w7-3545 system handled 512 GB, and the processor supports ECC memory.
• 3D rendering, product-visualization, and simulation teams with CPU-parallel workloads that can keep many cores busy; Intel positions the Xeon W-3500 family for these compute-intensive workstation tasks.
• Workstation builders who need ECC DDR5 memory, multiple high-bandwidth expansion cards, or fast storage; the w7-3545 supports up to 4 TB of memory and 112 PCIe 5.0 lanes.
• Technical-support and research teams that run sizable numerical analyses and benefit from a single-socket workstation configured with substantial memory; a published Femtet test used the w7-3545 in a 512 GB workstation for engineering analyses.

Real-World Use Scenarios

• An architectural visualization artist renders a CPU-based V-Ray scene while continuing to work in the 3D model; this workstation-class processor is positioned for highly threaded rendering, though the graphics card and software also affect the experience.
• An engineer runs stress, heat-transfer, or fluid simulations on large Femtet models; testing in a workstation equipped with the w7-3545 showed it handling these workloads, with large-memory analyses benefiting more than mid-sized ones.
• A 3D artist or designer works with detailed models while CPU rendering runs in the background; Intel positions this Xeon workstation family for simultaneous visualization and rendering, while smooth model interaction also depends on the GPU and system configuration.
• A software developer compiles a large project while keeping other work open; the processor’s many cores suit highly parallel build tasks, although actual compile times vary with the codebase, tools, memory, and storage.
• A data scientist develops or tests AI workloads on a workstation with compatible accelerators; the Xeon W platform is positioned for AI development and supports configurations with multiple GPUs, but model performance depends heavily on the chosen accelerator and software.