3XS Development Box Pro G6-32TP Fluid with NVIDIA Ampere RTX 3090
3XS DBP G6-32TP Fluid, Watercooled AMD Ryzen Threadripper PRO 3975WX, 256GB DDR4, 6x 24GB NVIDIA RTX 3090, 2TB M.2 SSD
- By DPD to your specified address. | Free Receive SMS with one-hour delivery window Weekend, timed and European delivery options are available at checkout
- Collect instore Collect from our Bolton store, BL6 6PE | Free
Scan 3XS Dev Box Pro Deep Learning Workstations

Scan Dev Box Pros are based on the latest NVIDIA Ampere-architecture GPU accelerators, providing you with maximum performance for developing and debugging your Deep Learning and Machine Learning models.
This development stage will help you identify the MVP (Minimum Viable Product) and learn valuable insights from failed models before rolling out your code to an NVIDIA DGX training system in a datacentre environment.
This Dev Box Pro features six 24GB NVIDIA GeForce RTX 3090 GPU accelerators with an AMD Ryzen Threadripper PRO 3975WX CPU, plus 256GB of DDR4 ECC memory. An ultra-fast 1TB M.2 SSD is provided for the OS and caching plus 4TB SSD for larger datasets.
GPU Accelerators generate a lot of heat when training, and so an air-cooled deep learning workstation with multiple GPUs can get very noisy and be irritating to use in an office environment. The GPUs and CPU in this workstation are professionally water-cooled, making the system much quieter than a traditional air-cooled workstation.
The custom watercooling loop has been specially engineered for maximum reliability, including a redundant pump that will keep the system working in the event that one pump fails.
The system is soak tested with Deep Learning workloads and is pre-installed with the Ubuntu 20.04 operating system plus a custom software stack built on NVIDIA CUDA that includes Docker-CE, Nvidia-Docker2 and GPU-optimised libraries.


Key Features

NVIDIA Graphics Card
The latest Nvidia graphics cards featuring CUDA and tensor cores for GPU accelerated training.

AMD Processor
This system utilises a powerful multi core processor for rapid data preparation.

Nvidia CUDA
Supports the latest Nvidia CUDA API for Deep Learning, AI and HPC applications.

Deep Learning Ready
Ready to go software stack including Ubuntu and Nvidia Docker.
Specifications
Component | Description |
---|---|
GPU Accelerator | 6 x 24GB NVIDIA GeForce RTX 3090 |
Processor | AMD Ryzen Threadripper PRO 3975WX, 32C/64T, 3.5GHz – 4.2GHz |
Memory | 256GB (8x32GB) DDR4 ECC 3200MHz |
System Drive | 2TB Corsair MP600 NVMe PCIe 4.0 M.2 SSD |
Storage Drive | 4TB Samsung 870 EVO SSD |
Operating System | Ubuntu 20.04 |
Recovery Media | Recovery USB drive with system image and diagnostic software |
Warranty | 3 Year Premium Warranty - 1st Year Onsite, 2nd & 3rd Year Return to Base (inc Parts & Labour) |
Connectivity

9 x USB 3.2 Gen2 Type-A
1 x USB 3.2 Gen2x2 Type-C

18 x DisplayPort 1.4a
6 x HDMI 2.1

2 x Intel 10GbE
Why buy built?
Anyone can build a PC, so what really makes the difference between any old PC and a 3XS PC? For starters, our team has been designing and building PCs for more than 20 years, so we have a huge amount of experience in building highly reliable systems that deliver the most performance for your budget. These are the benefits you receive when buying a professionally built 3XS system versus building a system yourself.

Unfortunately PC components do occasionally fail, and when this happens if you’ve built your PC yourself you’re on your own. However, with a Scan 3XS system you’re no longer alone.
FIND OUT MORE
Our 3XS PCs have won hundreds of awards in the press from publications such as Custom PC, Develop3D, Expert Reviews, HEXUS, PC Gamer and PC Pro.
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F-series 3XS systems are pre-built and tested in our factory, so can be collected same day or delivered next-day to your home or office.
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In the first year we can send an engineer to your home or office to repair it. In the remaining two years we'll still repair or replace any faulty parts, but do this on-site in Horwich, Lancashire.
FIND OUT MORETry before you buy
Scan Dev Box Pros can be evaluated online via a Proof of Concept
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