Case Study: ElectrifAi achieves faster, more cost-effective animal welfare machine learning with Aivres AI servers

A Aivres Case Study

Preview of the ElectrifAi Case Study

Enhancing Machine Learning Efficiency with Aivres AI Servers to Improve Animal Welfare

ElectrifAi, a global leader in business-ready machine learning models, faced a challenge with its AnimalAi product for a large US dairy farm client. Processing and storing continuous high-quality video footage from 60 cameras in a rural location required a powerful and efficient local solution. To address this, they turned to vendor Aivres and its AI-optimized servers.

Aivres implemented its KR2280 AI servers, which are equipped with multiple GPUs to accelerate high-intensity workloads. This solution provided the robust processing power needed for ElectrifAi to run its machine learning models locally with a reliable connection, enabling real-time video analysis. The results were efficient data processing and storage, along with significant cost savings that ElectrifAi could pass on to its clients, maximizing the performance and cost-efficiency of their animal welfare product.


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ElectrifAi

Gregg McNulty

Chief Information Officer


Aivres

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