Nvidia powers European retailers with open models, cutting inference cost by 90%
Nvidia’s hardware and software stack is being used by a range of European retailers to run open and frontier AI models at lower cost and higher speed. Shopify fine‑tuned the Nemotron 3.5 Lightning sub‑agent for its Sidekick assistant, reporting that the model beats a leading frontier model in accuracy while cutting serving costs by 90% and delivering responses seven times faster.
What you can do with it
AI at Work →Increase liquidity with Image Editing API
Standardizes primary product images for e-commerce listings.
- Who for
- marketers
- Cost
- Price not stated
- Effort
- minutes
Use it for
- Standardize images
- Increase liquidity
- Boost views
Watch out Requires connection
Key points from the news
- Shopify’s post‑trained Nemotron 3.5 Lightning cuts serving costs by 90% and runs 7× faster than a leading frontier model.
- Photoroom’s Image Editing API processes about 40,000 images a day in 70 countries, raising listing liquidity by 5% and views by 3‑7%.
Zooplus, together with Infosys and Nvidia, built a prototype in AWS that reached 86% search accuracy using the Nemotron Retriever library and the Nvidia Blueprint for catalog enrichment. Photoroom’s Image Editing API, deployed with Vestiaire Collective, now standardises about 40,000 primary images a day across 70 countries; listings processed through the API sell at a 5% higher liquidity rate and see 3‑7% more unique views per product page. L’Oréal and other brands are also using Nvidia‑accelerated digital twins and molecular‑simulation models to speed up product‑ingredient discovery and virtual‑try‑on experiences.
NVIDIA Transforms European Retail, From Digital Discovery to Physical Operations
NVIDIA Blog · 22 October 2026
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This text was published by NVIDIA Blog and written by Mavi Nafria. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
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