Category: Data Science

Scientific Computing is a vast domain! There are thousands of “scientific” applications and it is often the case that what you are working with is based on your own code development efforts. Performance bottlenecks can arise from many types of hardware, software, and job-run characteristics. Recommendations on “system requirements” published by software vendors (or developers) […]

Building a GPU cluster requires specific hardware to ensure efficient and reliable operations. To help you decide wisely, we’ve put together a list of recommended hardware configurations that will maximize the efficiency of your GPU cluster. Processor for GPU Cluster For your GPU cluster to operate and coordinate, a powerful CPU is also required. We […]

To develop and train machine learning models, a powerful hardware setup is crucial to ensure fast & efficient training times. Check out our catalogue of optimised Machine Learning builds here. In this blog, we will discuss the recommended hardware requirements for machine learning, specifically focusing on the processor (CPU) and graphics card (GPU). Our recommendations […]

Data science and data analysis are coupled with methods from machine learning, so there are some similarities here with our recommendations and AI. For ever and ever, data analysis, preparation, munging, cleaning, visualization, etc., present unique challenges for system configuration.  Looking for a Data Science Workstation? Call on our Toll-Free (1800 309 2944) and get […]