Xeon Data Science Server

This Xeon Data Science Server is built around the Xeo​n​ W9-3475X​ with an RTX 4500 ADA 24GB video card.

Description

Xeon Data Science Server Overview

This Xeon Data Science Server is built around the Xeo​n​ W9-3475X​ with an RTX 4500 ADA 24GB video card. This combination provides a very powerful overall solution for AVX512 optimized workloads.

This build can be adapted from the current 4U rack to a 5U rack to accomodate a larger Geforce GPU (currently uses a smaller Pro GPU that costs more). This 5U rack costs about $350 more, including rails.

Xeon Data Science Server Limitations

This platform is currently limited to 112 threads, 7 PCI-E devices, and 2TB of memory. Please let us know if you need a more robust platform.

Builds In This Set

Threadripper Scientific Computing | Threadripper Pro Scientific ComputingXeon Scientific Computing

Threadripper Data Science | Threadripper Pro Data ScienceXeon Data Science | Xeon Max Data Science

Xeon Machine Learning/AI

What You Need To Know

Xeon W9-34​75X
(36 core/72 thread, 4.8 GHz single-core turbo)
RTX 4500 ADA 24GB
(typically faster than an RTX A6000, high VRAM)
512GB DDR5-4800 ECC memory
(max of 8DIMM/2TB)
2TB+4TB Gen4 NVME dual-drive setup
(OS/programs, main)
High-airflow rack (rails included), 1500W Titanium power supply360mm CPU liquid cooler, extra case fans for proper airflow

Xeon Data Science Server

This product is typically slower than Threadripper 7000, though it does shine in memory-heavy workloads

Top Flight Computers is a SolidWorks Certified Solution Partner

See some of our customer build videos and live streams on our YouTube channel!

Pricing

This Xeon Data Science Server is $15450 as currently designed.

Online pricing defaults to credit card payment (ACH and check are available), possible sales tax and shipping cost is extra.

Please contact us if you found one of our previous builds that you think would suit your needs well.

Example Systems

Interested In Buying This PC Rack? Contact Us!

See our brief update on the status of components, including pricing and lead time