What's Inside

When RAM Capacity Matters More Than Core Count

Some workloads scale with system RAM, not CPU cores. AI inference of 70B+ models that don't fit in GPU VRAM rely on system RAM for offload. Architectural visualization of entire cities or massive industrial sites needs hundreds of gigabytes of working memory. Large CAD assemblies (full aircraft, ships, plants) only fit comfortably in workstations with 256GB+ ECC. This build pairs a capable 32-core Pro CPU with 512GB of ECC memory and 8 DIMM slots for further expansion — letting you scale RAM to 1TB or beyond as your projects grow. The Pro platform also delivers more PCIe lanes for future multi-GPU expansion and ECC validation across the entire memory subsystem.

Who Buys This

This workstation is for: AI researchers running large language model inference and RAG pipelines. Architects working on city-scale BIM and civil engineering projects. Aerospace and automotive engineers running massive CAD assemblies in NX, Catia, or SolidWorks. Visualization studios creating photorealistic renders of complex environments. Data scientists working with in-memory datasets that exceed 256GB.

Not the right fit if: Workloads that benefit primarily from raw core count — for those, the 64-core Pro 9985WX build is a better fit. Users who need more than 96GB of GPU VRAM should consider our dual or triple Pro 6000 configurations.

Workload Performance

Frequently Asked Questions