Find out more
Find out more
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.
Powered by NVIDIA RTX GPU-accelerators the 3XS range of AI dev box workstations enable you to start your AI journey and learn valuable insights from failed models at an affordable price.
Powered by enterprise-class NVIDIA RTX GPU-accelerators this range of NVIDIA-certified Data Science Workstations by 3XS includes a complete software stack.
Virtualisation allows you to pool GPU resources in order to gain greater control and visibility. The Run:AI software platform get the most from your hardware - regardless of what GPUs you have.
Try any of our development systems using your own datasets to understand the best solution for your AI project - all hosted in a secure datacentre.
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.
Powered by enterprise-class NVIDIA A100 GPU-accelerators the DGX Station delivers the ultimate in performance and has full software stack that lets your data science teams get started within only an hour.
The DGX-1 features eight Tesla V100 GPU cards that will transform your development of neural networks and other AI research.
The ground-breaking new solution for AI Infrastructure - the DGX A100 is the world’s first AI System built on the Ampere GPU architecture.
Bespoke custom systems configurable from two to sixteen NVIDIA GPUs will address any AI project, no matter how large the challenge.
Built from the ground-up for data intensive workloads, POWER9 is the only processor with state-of-the-art subsystem technology including integrated NVIDIA NVLink.
NVIDIA Virtual Compute Server enables you to run compute-intensive workloads with professional GPUs in a virtual environment.
Virtualisation allows you to pool GPU resources in order to gain greater control and visibility. The Run:AI software platform get the most from your hardware - regardless of what GPUs you have.
Test deep learning at scale on our secure AI infrastructure - optimised systems and storage platforms enable you to get a real feel of any solution prior to purchase.
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.
The Advantech Edge AI range of modular solutions is powered by the NVIDIA Jetson platform, embedded within a robust chassis to cope with all inferencing needs.
The Advantech NVR AI range of surveillance solutions is powered by the NVIDIA Jetson platform, embedded within a robust chassis to cope with all video monitoring needs.
Advantech industrial grade servers offer better endurance and redundancy in critical application environments, delivering AI model retraining at the edge.
Our secure data centres host a wide variety of inferencing solutions for you to trail prior to deployment in the field.
GPU Accelerated Secure Managed Hosting
The cloud can be very costly especially for training and building models and on-premise datacentres can be difficult to manage or simply aren’t capable of handling the power density and scale needed to accelerate AI projects effectively. Scan has partnered with several secure data centres to offer a host of secure managed solutions.
LEARN MORE
