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.
Designed to get results quick, develop and debug code on a basic software stack.
Maximise productivity with high performance Quadro GPUs and a comprehensive software stack.
Run:AI pools GPU resources resources in order to gain greater control and visibility.
Test drive one of our deep learning & AI systems in the cloud with your own data.
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.
High performance development and training with A100 GPUs and a enterprise-grade software stack.
Ultimate deep learning system with 8x A100 GPUs with NVSwitch.
High performance AI infrastructure in the cloud
Scalable training solutions powered by NVIDIA
Hypervisor-based server virtualisation for GPU-accelerated training workflows
Run:AI pools GPU resources resources in order to gain greater control and visibility.
Test drive one of our deep learning & AI systems in the cloud with your own data.
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.
GPU-accelerated Edge AI appliances for industrial applications such as inspection, maintenance and robotics.
GPU-accelerated Edge AI appliances for healthcare applications such as patient care, pathology and predictive health.
GPU-accelerated Edge AI appliances for smart city applications such as infrastructure, logistics and traffic management.
GPU-accelerated Edge AI appliances for surveillance applications such as asset management, store analytics and security.
GPU-accelerated industrial servers for onsite inferencing and retraining.
Test drive one of our deep learning & AI systems in the cloud with your own data.
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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