AMD Ryzen Threadripper PRO 7985WX 64-core Workstation Processor

The AMD Ryzen Threadripper PRO 7985WX is a 64-core, 128-thread workstation processor built on AMD's Zen 4 microarchitecture and fabricated on TSMC's 5nm process node. Designed for the WRX90 platform, it operates with a base clock of 3.2 GHz and a maximum boost clock of up to 5.1 GHz, backed by 256 MB of AMD 3D V-Cache-free L3 cache (320 MB total cache inclusive of L2) and support for eight-channel DDR5 memory with speeds up to DDR5-5200, enabling memory bandwidth suited to the most demanding professional compute environments.

The processor supports up to 2 TB of registered ECC DDR5 memory across eight channels, providing the memory capacity and reliability demanded by large-scale simulation, rendering, and data science workloads. With 128 PCIe 5.0 lanes available from the CPU, the 7985WX allows simultaneous deployment of multiple high-bandwidth GPUs, NVMe storage arrays, and professional networking adapters without bandwidth contention — a critical advantage in multi-GPU rendering nodes and AI inference appliances.

Targeted at professional workstation deployments in engineering, visual effects, scientific computing, and financial modeling, the Ryzen Threadripper PRO 7985WX carries a 350W TDP and requires a compatible WRX90 motherboard. It is positioned as AMD's high-core-count Zen 4 workstation solution, offering a significant uplift in per-core IPC, AVX-512 instruction support, and platform I/O scalability compared to its Zen 3-based predecessors, making it a competitive foundation for dense single-socket workstation configurations.

Ideal for

• High-complexity 3D CAD and parametric modeling requiring sustained multi-threaded performance across large assembly simulations in tools such as CATIA, SolidWorks, and NX
• Professional VFX and 3D animation rendering using CPU-based renderers such as Arnold, V-Ray CPU, and Chaos Phoenix where core count directly accelerates frame throughput
• Computational fluid dynamics (CFD) and finite element analysis (FEA) workloads that leverage high core counts, large ECC memory capacity, and AVX-512 instruction acceleration
• AI and machine learning model training and data preprocessing on single-socket workstations where large DDR5 memory pools and high PCIe 5.0 lane counts support multiple GPU accelerators
• Genomics, molecular dynamics, and life sciences compute pipelines requiring high thread parallelism and support for large in-memory datasets with ECC protection
• Multi-stream real-time video encoding and post-production finishing on professional media workstations handling 8K RAW or multi-camera HDR timelines

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.