Deploying IT at the point-of-care means deploying it in close proximity to people. Whether it be bedside or under a desk, 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. Power availability, power draw and its sustainability also must be considered as does the impact of latency, resilience and scalability on real-time decision making at the point-of-care.
There are many AI/ML use cases being considered, trialed and rolled out around the world, but these require high-performance computing to be moved from the data center to the point-of-care
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