01 What happened
NVIDIA showcases European retail AI deployments at GTC Berlin: Shopify, Zooplus, Photoroom, Omi, L'Oréal, Mirakl, ALLSIDES, CATCHES and Nebius present concrete results in inference cost, product discovery, digital twins and physical retail operations.
02 Key details
- Shopify post-trained NVIDIA Nemotron 3.5 Lightning for the GraphQL subagent inside Sidekick; on its internal benchmark the post-trained model surpassed a leading frontier model in accuracy, cut serving costs by 90% and delivered responses 7x faster.
- NVIDIA CCluster vLLM helped Shopify achieve 4.5x performance and up to 12x lower costs across five cases.
- Zooplus, with Infosys and NVIDIA, deployed a production-ready prototype on AWS using NVIDIA Nemotron Retriever for semantic search and NVIDIA Blueprint for retail catalog enrichment, achieving 86% search accuracy.
- Photoroom standardizes about 40,000 primary images per day across 70 countries for Vestiaire Collective; listings processed by Photoroom sold at a 5% higher rate of liquidity with 3% to 7% more unique views per product page.
- Omi runs TRELLIS 3D asset generation on NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, speeding up inference by 10x and reducing pipeline latency by 4x; L'Oréal is integrating NVIDIA ALCHEMI into its research workflow and testing open-weight OrbMol-v2 for molecular screening.
03 Why it matters
The numbers come from company-reported benchmarks, not independent measurements; validate similar trade-offs on your own tasks before adopting them.
04 Who it matters to
Enterprises, technologists, AI developers, IT architects and enterprise AI customers.
Original source