Deep Learning Hardware
Whilst, accelerated hardware is a central point of deep learning and AI, it is worth understand 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 / performance need is met.
Development Systems
3XS Deep Learning Workstations
This range of 3XS AI Dev Boxes are perfect for the development stage in your AI journey.
Find out moreNVIDIA Data Science Workstation
The NVIDIA Data Science Workstation is based on the latest NVIDIA RTX ray tracing GPU cards.
DGX Station Workstation
Develop and iterate new deep neural networks with the compact deep learning solution before training at scale in a data centre.
Training Systems
DGX-1 Volta Deep Learning Supercomputer
What makes the DGX-1 special and how it will transform your development of neural networks and other AI research.
Find out moreDGX-2 Experience AI on a whole new scale
Introducing the new DGX-2 Supercomputer, designed to take on the world’s most complex AI challenges.
Deep Learning Framework
A framework lets you train your Deep Learning network quickly and easily. Learn more about frameworks and how they can transform your research.
Find out moreIBM POWER9
Built from the ground-up for data intensive workloads, POWER9 is the only processor with state-of-the-art I/O subsystem technology, including next generation NVIDIA NVLink, PCIe Gen4, and OpenCAPI.
Find out moreHPE Apollo Servers
With up to eight high-performance GPUs per server, the HPE Apollo range of servers provides superior performance. Purpose-built for accelerated computing, this platform features both PCIe and NVLink GPU interconnects.
Find out moreOne Stop Systems
A provider of NVIDIA GPU based servers designed for hyperscale deep learning training culminating in the GPUltima platform capable of scaling to eight nodes, each with 16x Tesla V100 GPUs in either a single or dual configuration.
Find out moreInferencing Systems
Learn how our range of solutions designed specifically for AI inferencing can complete your AI journey.
Find out moreAI Cloud
Deep learning and AI deployments are at the bleeding edge of IT infrastructure as we know it. Ever-evolving at an incredibly fast rate and always designed around optimal throughput from data storage to GPU, and then concerned with maximising GPU utilisation to get the fastest time to results, and increasing the return-on-investment on your purchased hardware.
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