Case Study: a global top 10 e-commerce giant accelerates AI training with Alluxio

Global Top 10 E-Commerce Giant improves GPU utilization by 20% with Alluxio

A global top 10 e-commerce giant faced significant challenges in training its AI models for search and recommendation. Their training data, stored in AWS S3, was accessed by workloads across multiple AWS regions and an on-premises data center, leading to slow and unstable performance due to network and storage constraints. This strategy also resulted in high AWS egress costs, low GPU utilization, and operational complexity. They turned to Alluxio Enterprise AI for a solution.

Alluxio implemented its distributed caching technology, deploying cache clusters in each AWS region and the on-premises data center while maintaining a single source of truth in S3. This solution from Alluxio made the AI training workloads faster and more stable. The results included a reduction of AWS S3 API and egress charges by over 50%, a 20% improvement in GPU utilization, and a significant decrease in operational complexity.