Servers - AI

Deep learning uses the power of neural networks to teach computers how to detect patterns and concepts in data, such as translating languages, image recognition and trend analysis.

Deep Learning servers are powered by multiple NVIDIA GPU Accelerators working together in parallel to speed up this highly computationally-intensive process, using multi-layered deep neural networks to simulate the functions of the brain to solve tasks that have previously eluded data scientists.

Choose from a wide range of servers optimised for deep learning, available to purchase or rental via the cloud with free proof of concept trials also available. Visit our Deep Learning site to learn more.

Scan is an Elite Solution Provider for NVIDIA DGX Systems and has a dedicated AI team including data scientists to support our deep learning systems.

Make the most your deep learning hardware with this selection of software, licensing and supoprt upgrade options.

High performance deep learning training solutions from the NVIDIA DGX family require low-latency storage solutions. These 2U Software Defined Storage appliances are powered by Excelero and can provide up to 330TB of NVMe over Fabric storage, with the entry-level configuration of 4 SSDs providing over 2M IOPS, 12GB/s random read with less than 90 microseconds latency.

The system is scalable up to 24 SSDs, providing more than 23GB/sec from a single enclosure, and be extended with additional units.

Email [email protected] to discuss your requirements.

3XS Systems dev boxes and servers are the gold standard when it comes to developing and training deep learning and machine learning models, big data analytics and running high performance computing simulations. Powered by professional-grade NVIDIA RTX GPU accelerators, all the capabilities of our award-winning 3XS systems are now available in the cloud from any device, anywhere. 3XS AI and HPC, powered by Scan Cloud, enables any organisation to take advantage of highly responsive GPU-accelerated compute without the need to invest in on-premise hardware and its associated maintenance.

Discover the full range of Scan Cloud Services available via our Scan Business team.