Scan AI

Scan AI

Deep Learning Hardware

 

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.

Development

Designed to get results quick, develop and debug code on a basic software stack.

Training

High performance development and training with A100 GPUs and a enterprise-grade software stack.

Inferencing

GPU-accelerated Edge AI appliances for industrial applications such as inspection, maintenance and robotics.

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.

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