Case Study: a global retailer accelerates AI model training with Zymr GPU infrastructure modernization

Global Retailer accelerates AI model training with Zymr

The client, a global retailer, faced challenges with underutilized and inefficient GPU infrastructure in its on-premises data centers, leading to long AI model training cycles. To address this and unlock the full potential of its AI investments, the retailer partnered with vendor Zymr for a modernization effort.

Zymr implemented a Kubernetes-based AI cluster management solution featuring GPU-aware workload scheduling and autoscaling for training pipelines. This provided centralized resource monitoring and infrastructure automation. As a result, the retailer achieved a significant increase in GPU utilization and faster AI model training cycles. Zymr's solution also improved throughput for personalization workloads and stabilized infrastructure costs.