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Which workstation do I need for data science?
Data science is a mix of loading data, cleaning it, exploring it and training models. A laptop slows down once datasets reach a few gigabytes. A workstation keeps the whole dataset in memory and uses the GPU to speed up the slow steps.
Laatst gecontroleerd op 13 Oct 2026
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Vertel hoe groot uw datasets zijn en welke tools u gebruikt. Hij stelt alleen machines voor die wij verkopen, met echte prijzen en levertijden.
RAM comes first
Most tools load the whole dataset into memory, then make copies while they work. As a rough guide, have at least two to three times your largest dataset in RAM.
| Largest dataset | Suggested RAM |
|---|---|
| Up to 10 GB | 32 to 64 GB |
| 10 to 50 GB | 128 GB |
| 50 to 150 GB | 256 GB or more |
When a GPU helps
- Deep learning: training neural networks is much faster on an NVIDIA GPU.
- Data frames: GPU libraries such as NVIDIA RAPIDS can speed up pandas-style work on large tables.
- Classic machine learning: many tools (for example XGBoost) can train on a GPU.
If you only use spreadsheets and small tables, spend more on RAM and CPU cores instead.
Workstations in our catalogue
Featured machines. Prices, stock and lead times are live.
- Storage: 1–8 TB SSD
- Connectivity: 4× Thunderbolt 5 (rear), 10Gb Ethernet, Wi-Fi 7, Bluetooth 6
- Memory bandwidth: Up to 614 GB/s
- Storage: 1–16 TB SSD
- Connectivity: 4× Thunderbolt 5 (rear), 10Gb Ethernet, Wi-Fi 7, Bluetooth 6
- Memory bandwidth: Up to 1.2 TB/s
- Platform: AMD WRX90
- CPU options: Threadripper PRO 9965WX / 9975WX / 9985WX / 9995WX
- GPUs: Up to 4× dual-slot NVIDIA RTX PRO Blackwell
- CPU options: Threadripper PRO 7985WX or 9985WX (64 cores, 350 W)
- Storage: 16 TB (4× 4 TB Samsung 990 PRO NVMe)
- GPUs: 3 or 4× NVIDIA RTX 6000 Ada Generation 48 GB
- Platform: AMD AM5
- CPU: AMD Ryzen 9 9950X (16 cores)
- Form factor: Mid tower
- OS: Ubuntu 24.04 LTS + NVIDIA AI stack
- CPU: AMD Ryzen Threadripper PRO 9975WX (32 cores)
- GPUs: 2× NVIDIA RTX PRO 6000 Blackwell Workstation Edition
Veelgestelde vragen
How many CPU cores do I need?
For most data science, 16 or more cores is plenty. More cores help if you run many jobs at once or use tools that spread work across cores.
Are your prices shown with VAT?
Yes. Every price is shown without VAT and with VAT, and there are no hidden fees.
How long will it take to arrive?
Each product shows its real lead time from our stock data. The advisor uses the same data and won't guess a date.
Krijg een voorstel op maat van uw behoeften
Vertel hoe groot uw datasets zijn en welke tools u gebruikt. Hij stelt alleen machines voor die wij verkopen, met echte prijzen en levertijden.