Enabling AI/ML-powered diagnostic image interpretation at the point-of-care

Introducing Ku:l Micro DC and Ku:l Server

Our fully-integrated Ku:l Micro Data Centre coming in multiple deployment configurations and our passively-cooled Ku:l Server offering server-class compute in any orientation can enable HPC image processing systems and AI-powered machine learning techniques at the point-of-care.

 

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AI/ML-powered medical imaging applications

The aim of medical imaging is to capture abnormalities using high-performance image processing and machine learning techniques for the diagnosis of various diseases and enablement of medical operation planning. These are the top applications of AI/ML-powered medical imaging.

The challenges of deploying AI/ML workloads in diagnostic image interpretation

Deploying high-performance computing (HPI) to enable AI/ML-powered medical imaging workloads at the point-of-care or on-premises doesn't come without its challenges. Deploying IT at the point-of-care means deploying it in close proximity to people. People present risk to the IT in terms of accidental damage, tampering and contamination whilst the IT presents risk to the people in terms of noise, heat, germs and space consumption. Deploying IT on-premises in existing server rooms presents challenges such as space availability, power availability, heat rejection, scalability, monitoring and maintenance. 

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Precision immersion cooling under licence

If you already provide the hardware and just need the cooling, our simple licensing model allows you to integrate our liquid cooling technologies into your existing supply chain without the need for change.

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A highly scalable, GPU-rich Micro Data Centre solution for deploying accelerated AL/ML workloads in healthcare

Enabling AI/ML-powered diagnostic image interpretation at the point-of-care

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If you have a cooling challenge that you would like us to solve or if you would like to find out more about our chassis-level liquid cooling technologies...

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