AMD Ryzen Threadripper 7975WX β 32-Core, 64-Thread Workstation Processor (350W, SP5, WOF)
Unleash the next generation of workstation performance with the AMD Ryzen Threadripper 7975WX, featuring 32 cores and 64 threads powered by AMDβs cutting-edge Zen 4 architecture. Designed for creators, engineers, and professionals, this CPU delivers unmatched performance for demanding workloads such as 3D rendering, AI training, scientific computing, and high-resolution video production. With support for 128 PCIe 5.0 lanes, you get next-gen connectivity for GPUs, storage, and networking. This 350W workstation beast offers incredible multi-core throughput and excellent single-core performance, making it perfect for both compute-heavy and latency-sensitive applications. The WOF (Without Fan) version gives you the freedom to pair it with a custom cooling solution for optimal thermal management.
π Top Highlights
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β‘ 32 Cores / 64 Threads β Designed for extreme parallel computing and multitasking
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π₯ Zen 4 Architecture β Faster, more efficient, and optimized for modern workloads
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π‘ 350W TDP (WOF) β Select your preferred high-performance cooling solution
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π 128 PCIe 5.0 Lanes β Next-generation connectivity for ultimate expandability
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π§ Massive Cache β Lightning-fast data access for demanding workloads
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π’ Workstation-Class Reliability β Perfect for mission-critical, 24/7 operations
π Technical Details
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Brand: AMD
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Model: Ryzen Threadripper 7975WX
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Cores / Threads: 32 / 64
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Base Clock: 4.0 GHz
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Max Boost Clock: Up to 5.3 GHz
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Cache: 256MB L3
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Socket: SP5
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TDP: 350W
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Architecture: Zen 4 (5nm)
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PCIe Support: PCIe 5.0 (128 lanes)
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Memory Support: DDR5 ECC Registered (up to 2TB)
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Cooler Included: No (WOF β Without Fan)
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Platform: AMD WRX90
π― Why You Should Buy It
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β Extreme Multi-Core Performance β Perfect for 3D artists, developers, and researchers
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β Future-Proof Connectivity β PCIe 5.0 ensures top-tier GPU and storage performance
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β Massive Memory Support β Ideal for data-heavy applications and virtualization
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β Zen 4 Efficiency β Excellent power-to-performance ratio for heavy workloads
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β Custom Cooling Flexibility β Optimize thermals with a cooling solution of your choice
π‘ Recommended Use Cases
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High-end 3D rendering and animation
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AI/ML model training and simulation workloads
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Virtualization and multi-VM server environments
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Scientific computing and engineering simulations
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Multi-GPU workstation builds for creative production
