The New Benchmark for Professional Computing: AMD Ryzen Threadripper PRO 9995WX
When “fast” isn’t enough, the AMD Ryzen Threadripper PRO 9995WX steps in. Engineered for architects, data scientists, and VFX houses, this processor redefines what a single-socket workstation can achieve. With 96 physical cores and 192 threads, it offers a level of parallel processing that turns hours of rendering into minutes.
Zen 5 Efficiency & Performance
Built on the revolutionary Zen 5 architecture, the 9995WX optimizes every watt for maximum performance. While it maintains a stable 2.5GHz base clock for sustained heavy lifting, it can boost up to a blistering 5.4GHz, ensuring that even single-threaded tasks remain incredibly responsive.
Unmatched Memory & Data Throughput
Data bottlenecks are a thing of the past. The 9995WX supports 8-channel DDR5 ECC memory, providing the massive bandwidth required for memory-intensive AI training and large-scale dataset analysis. Coupled with 128 lanes of PCIe 5.0 connectivity, you can run multiple high-end GPUs and NVMe storage arrays at their full potential without compromise.
Massive Cache for Complex Workflows
With an unprecedented 384MB of L3 cache, this CPU keeps more data “on-chip,” significantly reducing latency in complex 3D simulations and compiled code environments. It is the definitive choice for the sTR5 socket (WRX90 chipset), offering enterprise-grade security and manageability features that keep your intellectual property safe.
Key Technical Specifications:
Cores/Threads: 96 Cores / 192 Threads
Architecture: Zen 5 (4nm process)
Clock Speeds: 2.5GHz Base / 5.4GHz Boost
Cache: 384MB L3 Cache
Memory Support: 8-Channel DDR5 (ECC supported)
Expansion: 128 PCIe 5.0 Lanes
Socket: sTR5 (Compatible with WRX90 Motherboards)
Ideal Applications:
AI/Machine Learning: Training LLMs and deep learning neural networks.
VFX & Rendering: Real-time 8K/12K video editing and complex 3D ray tracing.
Engineering: High-fidelity CFD simulations and structural analysis (FEA).
Software Development: Compiling massive codebases and running multiple virtual machines simultaneously.







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