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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.
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Our customer was looking for ways to improve efficiency and reliability, and reduce operation costs and overheads for their manufacturing facility. The initial step in this transformation was to add additional monitoring and measurements to several areas of their facility to allow the collection of usage data from older machinery for analysis. The machinery to be analysed would be located in many areas of the complex, with some sitting in concrete outbuildings far from the source of the main network.