Published on May 6, 2026
For many pet owners, staying connected with their furry friends during the day has become an essential part of life. Tomofun, the developer of the Furbo Pet Camera, has been at the forefront of this shift, providing a platform to monitor and interact with pets remotely.
Recently, Tomofun faced rising operational costs while striving to maintain the accuracy of its pet behavior detection algorithms. To address this issue, the company adopted AWS EC2 Inf2 instances, utilizing Amazon’s Inferentia2 AI chips, specifically designed for cost-effective machine learning deployments.
As a result of this transition, Tomofun significantly reduced its computational costs while enhancing the functionality of its technology. The adoption of Inferentia2 not only streamlined operations but also optimized real-time behavior analysis, allowing pet owners to receive timely updates about their pets’ activities.
This advancement has profound implications for pet owners, who can now interact with their pets more effectively and affordably. With the improved system, Tomofun has solidified its position in the pet-tech market, ensuring that connectivity and care are always within reach.
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