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We supply industrial-grade GPU servers built for demanding workloads across AI, machine learning, data analytics, and edge inference. Powered by NVIDIA GPU acceleration, these rackmount systems are engineered to handle large-scale parallel processing tasks with speed and efficiency.
With support for multiple GPUs, high-speed storage, and scalable compute performance, our rackmount servers are ideal for applications such as real-time inference, digital twin modelling, computer vision, simulation, rendering, and VDI deployments.
Our GPU server solutions are available in 1U to 4U rackmount chassis and can be configured to exact project specifications, including CPU, memory, GPU count, cooling, and network connectivity. Contact our team to discuss how GPU-accelerated computing can support your application needs, from prototyping through to scalable rollout.
Showing 7 of 7 Rackmount GPU Servers items
GPU computer custom built for autonomous vehicle control system
WMG, University of Warwick’s Intelligent Vehicles research group works with a variety of industrial partners to address challenges presented by the concept of autonomous vehicles. Operating within this department is a multi-million pound funded project ‘Cloud assisted real time methods for autonomy’ (CARMA), working in collaboration with Jaguar Land Rover and EPSRC (Engineering and Physical Sciences Research Council).