top of page
23mita

Threadripper PRO 5955WX + 4090 + 64GB(16GBx4) Adata 3200MHZ DDR4 NON ECC DIMM

May 16th, 2024



Engineered for the demands of AI/ML professionals seeking unparalleled performance and reliability. This build is a part of our GN Enterprise series of workstation builds.

It consists of the AMD Threadripper PRO 5955WX processor, designed to handle the most complex AI/ML workloads with ease. Paired with the Asus WRX80 Sage Wifi motherboard, this build offers extensive connectivity and expansion options to accommodate future growth and advancements in AI technology.

Keep your system running smoothly under heavy workloads with the Noctua sTR4-SP3 Dual Tower Air Cooler, ensuring optimal temperatures for maximum performance.

With 64GB of Adata 3200MHz DDR4 NON ECC DIMM RAM, multitasking becomes effortless, and AI/ML algorithms are processed with lightning speed.

Experience unparalleled graphics performance with the Asus STRIX RTX4090 OC 24GB DDR6X GPU, delivering exceptional compute power for AI training and inference tasks.

Housed in the spacious Fractal Design Meshify 2 XL case, and powered by the robust 1650W GOLD ATX 3.0 power supply, this build not only delivers uncompromising performance but also ensures stability and reliability for your critical AI/ML projects.


Price: 5,69,999/-

Shipping PAN India 🇮🇳


Detailed Specifications:

AMD Threadripper PRO 5955WX

Asus WRX80 Sage Wifi

Noctua sTR4-SP3 Dual Tower Air Cooler

64GB(16GBx4) Adata 3200MHZ DDR4 NON ECC DIMM

Asus STRIX RTX4090 OC 24GB DDR6X

1TB Kingston Gen4 NVME

2TB Adata S70 Blade Gen4 NVME

2TB Crucial T500 Gen4 7.4Gbps NVME

Fractal Design Meshify 2 XL

1650W GOLD ATX 3.0 power supply


Whether you're a data scientist, AI researcher, or machine learning engineer, our GN Enterprise series of workstation builds provides the tools you need to push the boundaries of AI technology. Visit us at www.gamerznation.in, call or WhatsApp us on +91 9545454941, or DM us on Instagram to place your order.








159 views0 comments

Opmerkingen


bottom of page