Data Science

Data Science Workstations

In data science, there is a diversity of software programs and applications; a standard Data Science Workstation does not exist. Ikbenstil Computers creates a suitable custom solution based on the specific software maker’s recommendation, the available high-end hardware and the many years of experience of our engineers.

Recommended system requirements for Data Science

Data Science hardware: Processor (CPU): Intel with the Xeon and AMD with the Threadripper Pro and EPYC lines are the applied processors in the Data Science Workstations.
The clock speeds and the large number of cores, Intel up to 64 cores and AMD up to 128 cores, up to 12-channel memory, up to 3TB DDR5 ECC Registered memory, the large number of PCIe lanes, AVX512 instruction set, the bus speeds and many more features make the professional systems the most powerful processors, and are therefore often preferable to the regular Core and Ryzen types. Which CPU is the best choice for your application depends on the software maker; our specialists can advise you on this.

The graphics card (GPU) The most commonly used GPUs in data science are the professional graphics cards from Nvidia, because of the Nvidia open-source Rapids software widely used in science. These Pro cards come in sizes from small to large, NVidia RTX 2000 Ada to the NVIDIA RTX PRO 6000 96GB Blackwell Max-Q Workstation Edition. When using Rapids, it is important to connect the two recommended GPUs to each other via NVlink.

Memory (RAM) The application of these Xeon and AMD Threadripper PRO and EPYC processors has a great advantage in the memory area; a very large amount of memory can be placed on some mainboards up to 3TB; configurations with 1TB to 2TB may be required to guarantee proper functioning with the processor. For Intel, the memory bus is a maximum of 8 channels and AMD EPYC a 12-channel memory bus. Stable working memory can also be used (Registered, RDIMM) and with the ECC function, which acts as memory error correction; the modules are often indicated as ECC Registered. These modules are produced up to a maximum of 256GB DDR5 each.

Storage For processing Big Data, fast storage is essential. NVME SSDs are produced up to 8TB each; depending on the database, these SSDs can be placed in a RAID configuration to create large and very fast data storage volumes. Of course, storage for content is also needed, this can be realised on internal HDDs or on a large volume file server.

Custom build Ikbenstil Computers has made workstations that align with standard workflows and the associated software. If your choice is not included here, you can contact one of our specialists, who can offer you a custom solution.