Intel Xeon W9-3495X Processor (105M Cache, 1.90 GHz) FC-LGA16A - 56 Cores - Tray Packaging - PK8071305081500 - OEM

The Intel Xeon w9-3495X is a 56-core workstation processor with 105 MB of cache, suited to professionals and system builders running CPU-heavy, highly parallel workloads such as rendering, simulation, or engineering applications.

Recommended For

• Engineers and technical teams running simulations, builds, or other long CPU jobs that their software can distribute across many cores; benchmark results show the Xeon can substantially shorten some highly parallel projects, but gains vary by application.
• Workstation users processing large in-memory datasets who need ECC memory, eight-channel bandwidth, or capacity beyond typical desktop platforms; the processor supports up to 4 TB of memory, depending on memory type.
• Professionals building a single-socket workstation with several GPUs, high-speed SSDs, or network cards that need substantial PCIe connectivity; the Xeon W-3400 platform provides up to 112 PCIe 5.0 lanes.
• AI developers running CPU workloads specifically optimized for Intel AMX and BF16 instructions; Intel lists these accelerators for deep-learning training and inference, so suitability depends on software support and workload testing.

Real-World Use Scenarios

• When a 3D artist renders frames on the CPU in Blender or V-Ray, the w9-3495X can keep a highly parallel render job busy across many cores; independent reviews tested it on these workloads, though results vary by renderer and competing CPU.
• When a game developer recompiles Unreal Engine shaders, the processor’s many cores can help with parallel build work; Puget Systems measured the w9-3495X slightly ahead of its comparison Threadripper PRO chip in shader compilation, while results for other Unreal tasks were mixed.
• When an engineering team processes and models large LiDAR point clouds, a workstation built around the w9-3495X can be configured for that CPU-heavy workflow; one owner reported using it for industrial point-cloud processing and modeling, with the software’s scaling depending on the task.
• When researchers or engineers work with datasets that exceed typical desktop memory capacity, a compatible workstation can be configured with large amounts of ECC memory; Intel lists support for up to 4 TB, which can help keep more data in memory when the workload and system configuration support it.
• When a workstation needs multiple GPUs, fast SSDs, or high-speed networking for a professional project, a compatible W-3400 platform provides room to build out those devices; the practical benefit depends on the motherboard, chassis, and selected components.

Spec Summary