Xeon Data Science Server

This Xeon Data Science Server is built around the Xeo​n​ W9-3475X​ with an RTX A6000 48GB video card.


Xeon Data Science Server Overview

This Xeon Data Science Server is built around the Xeo​n​ W9-3475X​ with an RTX A6000 48GB 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

Small Generative AI | Medium Generative AI | Large Generative AI

Threadripper Pro Scientific Computing | Threadripper Pro Data Science

Xeon Scientific Computing | Xeon Data Science | Xeon Max Data Science

Xeon Machine Learning/AI Training

What You Need To Know

Xeon W9-34​75X
(36 core/72 thread, 4.8 GHz single-core turbo)
RTX A6000 48GB
(near-max compute, max VRAM)
256GB DDR5-5600 ECC memory
(max of 8DIMM/2TB)
2TB+4TB Gen4 NVME dual-drive setup
(OS/programs, main)
High-airflow rack (rails included), 1200W Platinum 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!


This Xeon Data Science Server is $17300 as currently designed, and includes a 1 year extended warranty.

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