Find out more Find out more

Scan AI Solutions

Deep Learning and AI has an increasing relevance and growth in many industry sectors, as the technology advances and offers ever faster time to results and greater depth of insight from data.

Scan is a leading supplier within this market and helps customers along their AI journey. The Scan AI Ecosystem includes NVIDIA appliances, bespoke solutions, both onsite and in the cloud.

Click on the options to the right or browse our range of systems below to get started.

Development

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.

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

Test drive one of our deep learning & AI systems in the cloud with your own data.

Training

High performance training with 8x Tesla V100 GPUs with NVSwitch.

Ultimate deep learning system with 8x A100 GPUs with NVSwitch.

Scalable training solutions powered by NVIDIA A100 GPUs

Scalable training solutions powered by NVIDIA Quadro and Tesla GPUs

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.

Inferencing

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 retraining.

Test drive one of our deep learning & AI systems in the cloud with your own data.

AI Trusted Partners

NVIDIA GTC October 2020

Find out more

Proof of Concept

Test run one of our AI Supercomputers, datascience workstation or a development workstation with your very own data

Find out more

Tech News, Partnerships and Case Studies

News

16 NOV 2020 - NVIDIA launches a new version of the DGX A100 to address even larger data workloads A new 80GB version of the A100 GPU accelerator will be available alongside the current 40GB version to delivering twice the memory bandwidth and adding even greater performance to the DGX A100.

Read more
News

16 NOV 2020 - Brand new DGX Station from NVIDIA - now with A100 GPUs The completely refreshed DGX Station now features the four of the latest A100 GPU cards to deliver 2.5 petaFLOPS of data analysis and AI model development performance.

Read more
News

5 OCT 2020 - Catch up on the latest announcements from the NVIDIA GPU Technology Conference Empowering AI researchers with GPU-accelerated deep learning containers Learn how NVIDIA is innovating in the coming age of AI, with new GPU-accelerators and data centre infrastructure

Read more
News

11 SEP 2020 - Scan announce partnership with Advantech to supply AI edge inferencing systems Scan is proud to announce its new partnership with Advantech focused on a range of AI edge inferencing systems.

Read more
News

11 SEP 2020 - Scan announces partnership with RUN:AI Scan is proud to announce its new partnership with Run:AI, a company virtualising AI infrastructure, to ensure maximum resource utilisation to its portfolio of GPU-accelerated AI and deep learning workstations and servers.

Read more
Case Study

Kings College London Enabling AI in healthcare with Scan Ecosystem Solutions

Read more
Tech Explained

NVIDIA DGX A100 Universal AI Supercomputer The NVIDIA DGX-A100 presents a revolutionary leap forward for all your deep learning and AI workloads.

Watch video
Tech Explained

What makes an NVIDIA Data Science Workstation? Find out about the unique mix of certified hardware and software that makes up a DSW and how it can benefit your organization.

Watch video
Tech Explained

What is NVIDIA GPU Cloud (NGC) ? Empowering AI researchers with GPU-accelerated deep learning containers

Read more
Find out more Find out more