Edge-continuum apps testing and development support

Service description

Control, optimization and diagnostics of machines and systems based on AI approaches usually poses high demands on computational resources. Distributed computing topologies can be used to maintain reasonable complexity, costs and efficient use of the resources in such applications. We will allow experimentation on such distributed computational systems, combining embedded system, edge-computing and local/cloud HPC resources. The main objective of experiments will be assessment of suitability of the selected computing environment for the given AI industrial implementation.
Expected results: 1) Analysis of suitability of different computational architectures for AI implementation br2) optimization of AI algorithms implementation for affordable use on industrial HW
Methodology: – Needs and Requirements – Analysis – Data processing
Target: N/A

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