Cost effective deployment of vision-language models for pet behavior detection on AWS Inferentia2

Short summary

Tomofun's Furbo Pet Camera uses AWS EC2 Inf2 instances with Inferentia2 chips to deploy vision-language models cost-effectively for pet behavior detection. Purpose-built AI accelerators reduce inference costs while maintaining accuracy for production workloads.

• •Case study of vision model deployment on AWS Inferentia2 purpose-built chip
• •Demonstrates cost reduction for AI inference at production scale
• •Directly applicable for product teams building vision+language model features

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