Whilst GPU-accelerated hardware is a central point of deep learning and AI, it is worth understanding that the hardware requirements vary significantly depending on which stage the of the AI journey you are at – Development, Training or Inferencing. Each has very different needs and Scan recognises this by offering a range of solutions within each area to ensure every price range and performance requirement is met.
AI Development Systems
Depending on budget and time to results required, we offer a range of single and multi-GPU workstations aimed at establishing and developing AI models. Cutting edge GPU accelerators from the NVIDIA RTX families are featured to ensure best performance within each price bracket.
AI Training Systems
The technical requirements of an AI training system may vary hugely depending on what your particular AI project is. Recognising that budgets vary, regulatory compliances may need to be met, we offer a variety of training solutions based on the NVIDIA DGX, HGX and EGX platforms to suit all possible requirements, however small or large.
AI Inferencing Systems
No two AI deployments are the same and factors to consider may range from extreme temperature to dust and shock to all-weather protection. Scan has partnered with Advantech to offer a full range of NVIDIA Jetson based embedded solutions to guarantee we have the best fit product for your particular challenge or scenario.