{"product_id":"intel-workstation-cloud-ninjas","title":"Intel Workstation | Cloud Ninjas","description":"\u003cdiv class=\"subsection cpu-subsection\"\u003e\n \u003cdiv class=\"sub-section-head\" id=\"cpu-subsection-toggle\"\u003e\n \u003cspan class=\"sub-section-tl\"\u003eProcessor Specifications\u003c\/span\u003e\n \u003c\/div\u003e\n\n \u003cdiv class=\"subsection-information\"\u003e\n \n\u003cp\u003eThe Intel \u003cstrong\u003eXeon W3595X\u003c\/strong\u003e is built on the latest Emerald Rapids architecture, delivering \u003cstrong\u003e60 cores and 120 threads\u003c\/strong\u003e of enterprise-certified compute power. This massive core count isn't just a spec sheet advantage: it's a fundamental shift in how your workstation handles parallel workloads. Rendering engines, video encoding pipelines, scientific simulations, and machine learning training all scale efficiently across these threads, meaning complex jobs that would take days on consumer hardware complete in hours. The \u003cstrong\u003eEmerald Rapids architecture\u003c\/strong\u003e brings significant improvements in memory bandwidth and instruction throughput compared to previous generations, ensuring that all 120 threads stay productive rather than starved for data.\u003c\/p\u003e\n \u003c\/div\u003e\n\n \u003c\/div\u003e\n \u003cdiv class=\"table-section\"\u003e\n \u003cdiv class=\"cpu-compatibility-table\"\u003e\n \u003ctable class=\"data-table\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth\u003eCPU\u003c\/th\u003e\n \u003cth\u003eCores \u0026amp; Threads\u003c\/th\u003e\n \u003cth\u003eBase Clock\u003c\/th\u003e\n \u003cth\u003eTurbo Clock\u003c\/th\u003e\n \u003c\/tr\u003e\n \u003c\/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003eIntel Xeon w5-3525\u003c\/td\u003e\n \u003ctd\u003e16C\/32T\u003c\/td\u003e\n \u003ctd\u003e3.20 GHz\u003c\/td\u003e\n \u003ctd\u003e4.80 GHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eIntel Xeon w5-3535X\u003c\/td\u003e\n \u003ctd\u003e20C\/40T\u003c\/td\u003e\n \u003ctd\u003e2.90 GHz\u003c\/td\u003e\n \u003ctd\u003e4.80 GHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eIntel Xeon w7-3545\u003c\/td\u003e\n \u003ctd\u003e24C\/48T\u003c\/td\u003e\n \u003ctd\u003e2.70 GHz\u003c\/td\u003e\n \u003ctd\u003e4.80 GHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eIntel Xeon w7-3555\u003c\/td\u003e\n \u003ctd\u003e28C\/56T\u003c\/td\u003e\n \u003ctd\u003e2.70 GHz\u003c\/td\u003e\n \u003ctd\u003e4.80 GHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eIntel Xeon w7-3565X\u003c\/td\u003e\n \u003ctd\u003e32C\/64T\u003c\/td\u003e\n \u003ctd\u003e2.50 GHz\u003c\/td\u003e\n \u003ctd\u003e4.80 GHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eIntel Xeon w9-3575X\u003c\/td\u003e\n \u003ctd\u003e44C\/88T\u003c\/td\u003e\n \u003ctd\u003e2.20 GHz\u003c\/td\u003e\n \u003ctd\u003e4.80 GHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eIntel Xeon w9-3595X\u003c\/td\u003e\n \u003ctd\u003e60C\/120T\u003c\/td\u003e\n \u003ctd\u003e2.00 GHz\u003c\/td\u003e\n \u003ctd\u003e4.80 GHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003c\/tbody\u003e\n \u003c\/table\u003e\n\n \u003c\/div\u003e\n \u003c\/div\u003e\n\n \u003cdiv class=\"subsection gpu-subsection\"\u003e\n \u003cdiv class=\"sub-section-head\" id=\"gpu-subsection-toggle\"\u003e\n \u003cspan class=\"sub-section-tl\"\u003eGraphics Card Specifications\u003c\/span\u003e\n \u003c\/div\u003e\n\n \u003cdiv class=\"subsection-information\"\u003e\n \t\u003cp\u003eThe \u003cstrong\u003eNVIDIA RTX PRO 4500 brings 32GB of GDDR7\u003c\/strong\u003e memory to your workstation which is a substantial advantage for enterprise workflows. This generous VRAM pool means you can load entire large-scale 3D scenes, massive datasets, and high-resolution textures directly into GPU memory without constant data shuffling. For video production teams, the RTX PRO 4500 accelerates encoding, decoding, and real-time effects compositing, enabling 4K and 8K timelines that play smoothly in professional editing suites. Machine learning teams benefit from the ability to load larger batch sizes and bigger models for training and inference. Unlike consumer GPUs, the \u003cstrong\u003eRTX PRO architecture is purpose-built for professional software\u003c\/strong\u003e, delivering optimized compute pathways for rendering engines (NVIDIA OptiX), CUDA acceleration, and specialized workloads that consumer cards simply aren't designed to handle efficiently.\n\u003c\/p\u003e\n \u003cp\u003e\n The RTX PRO 4500's professional compute capabilities ensure your workstation remains relevant as workloads evolve. Whether adopting AI-accelerated tools, new rendering techniques, or emerging GPU-compute frameworks, the professional architecture and extensive CUDA support provide a solid foundation for emerging technologies. \u003cstrong\u003eThe 32GB VRAM buffer future-proofs your investment\u003c\/strong\u003e against growing model sizes and higher-resolution data pipelines, eliminating the need for costly upgrades as project demands scale. For enterprises, this longevity means your GPU investment continues \u003cstrong\u003edelivering value for 5+ years\u003c\/strong\u003e.\n\n\n\n \u003c\/p\u003e\n\n\n \u003c\/div\u003e\n\n \u003c\/div\u003e\n\n \u003cdiv class=\"table-section\"\u003e\n\n \u003cdiv class=\"gpu-compatibility-table\"\u003e\n \u003ctable class=\"data-table\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth\u003eGPU\u003c\/th\u003e\n \u003cth\u003eVRAM\u003c\/th\u003e\n \u003cth\u003eGPU Clock\u003c\/th\u003e\n \u003cth\u003eMemory Clock\u003c\/th\u003e\n \u003c\/tr\u003e\n \u003c\/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX PRO 6000 Blackwell Workstation Edition\u003c\/td\u003e\n \u003ctd\u003e96GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e1750 MHz\u003c\/td\u003e\n \u003ctd\u003e2617 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX PRO 6000 Blackwell Max Q Workstation Edition\u003c\/td\u003e\n \u003ctd\u003e96GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e2280 MHz\u003c\/td\u003e\n \u003ctd\u003e1750 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX PRO 5000 Blackwell\u003c\/td\u003e\n \u003ctd\u003e48GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e2377 MHz\u003c\/td\u003e\n \u003ctd\u003e1750 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX PRO 4500 Blackwell\u003c\/td\u003e\n \u003ctd\u003e32GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e2407 MHz\u003c\/td\u003e\n \u003ctd\u003e1750 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA 6000 ADA Generation\u003c\/td\u003e\n \u003ctd\u003e32GB GDDR6\u003c\/td\u003e\n \u003ctd\u003e2505 MHz\u003c\/td\u003e\n \u003ctd\u003e2500 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX 5090\u003c\/td\u003e\n \u003ctd\u003e32GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e1750 MHz\u003c\/td\u003e\n \u003ctd\u003e2407 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX 5000 ADA Generation\u003c\/td\u003e\n \u003ctd\u003e32GB GDDR6\u003c\/td\u003e\n \u003ctd\u003e2550 MHz\u003c\/td\u003e\n \u003ctd\u003e2250 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX 4500 ADA Generation\u003c\/td\u003e\n \u003ctd\u003e24GB GDDR6\u003c\/td\u003e\n \u003ctd\u003e2580 MHz\u003c\/td\u003e\n \u003ctd\u003e2250 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX 4000 ADA Generation\u003c\/td\u003e\n \u003ctd\u003e20GB GDDR6\u003c\/td\u003e\n \u003ctd\u003e2175 MHz\u003c\/td\u003e\n \u003ctd\u003e2250 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX 5080\u003c\/td\u003e\n \u003ctd\u003e16GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e1875 MHz\u003c\/td\u003e\n \u003ctd\u003e2617 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX 5070 Ti\u003c\/td\u003e\n \u003ctd\u003e16GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e1750 MHz\u003c\/td\u003e\n \u003ctd\u003e2452 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX 5070\u003c\/td\u003e\n \u003ctd\u003e12GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e1750 MHz\u003c\/td\u003e\n \u003ctd\u003e2512 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX 5060 Ti\u003c\/td\u003e\n \u003ctd\u003e16GB GDDR7\u003c\/td\u003e\n \u003ctd\u003e1750 MHz\u003c\/td\u003e\n \u003ctd\u003e2572 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX A1000\u003c\/td\u003e\n \u003ctd\u003e8GB GDDR6\u003c\/td\u003e\n \u003ctd\u003e1462 MHz\u003c\/td\u003e\n \u003ctd\u003e1500 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003eNVIDIA RTX A400\u003c\/td\u003e\n \u003ctd\u003e4GB GDDR6\u003c\/td\u003e\n \u003ctd\u003e1762 MHz\u003c\/td\u003e\n \u003ctd\u003e1500 MHz\u003c\/td\u003e\n \u003c\/tr\u003e\n \n \u003c\/tbody\u003e\n \u003c\/table\u003e\n\n \n \u003c\/div\u003e\n \u003c\/div\u003e","brand":"Cloud Ninjas","offers":[{"title":"Primal Gorilla","offer_id":42598674923566,"sku":"CN-Intel-Workstation","price":2669.99,"currency_code":"USD","in_stock":true},{"title":"Primal Gorilla (D#L0GQW6X)","offer_id":42598678364206,"sku":"CN-Intel-Workstation|CPU-Intel-Xeon-w5-3525|64GBDDR5-4800B-R|NVIDIA-RTX-PRO-6000-96GB-BLACKWELL-Workstation-Edition|tpm-module-2.0|No-OS|1200W-80-PLUS-Platinum-ATX|Mellanox-ConnectX-5-2x10\/25GbE-SFP28|Workstation-Software-Chrome","price":21298.63,"currency_code":"USD","in_stock":true},{"title":"Primal Gorilla (D#E3Y8G4T)","offer_id":42598684885038,"sku":"CN-Intel-Workstation|CPU-Intel-Xeon-w9-3595x|32GBDDR5-4800B-R|samsung-990-pro-2TB|NVIDIA-RTX-PRO-4500-32GB-BLACKWELL|tpm-module-2.0|No-OS|1600W-80-PLUS-Platinum-ATX|Workstation-Software-Chrome|Workstation-Software-Firefox|Workstation-Software-NVIDIA Cuda","price":17982.54,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0248\/8539\/5502\/files\/Define_7_XL-WIW35U-5N6S-4G-1.jpg?v=1771955570","url":"https:\/\/cloudninjas.com\/products\/intel-workstation-cloud-ninjas","provider":"Cloud Ninjas","version":"1.0","type":"link"}