European Retailers Adopt Open Models for Efficiency
NVIDIA reports European retailers are using open-source models to cut costs and improve operations.

What happened
European retailers are increasingly adopting open models and physical intelligence to improve operations, such as lowering inference costs and simulating robotic fleet interactions in fulfillment centers.
Shopify utilized post-trained open models to achieve high accuracy at reduced costs, using NVIDIA Megatron Bridge and NeMo RL for faster fine-tuning and reinforcement learning.
Why it matters
The shift to open models allows retailers to optimize costs and enhance operational efficiency, which is critical for maintaining competitiveness in a rapidly evolving market.
Key details
NVIDIA CCluster vLLM inference optimization software helped Shopify improve performance by 4.5 times and reduce inference costs by up to 12 times across multiple use cases.
Zooplus, a European pet retailer, rebuilt its product discovery stack using NVIDIA technologies, achieving 86% search accuracy with the help of the Nemotron Retriever library.
Sources
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