NVIDIA Launches European Retail AI Platform, Boosting Efficiency and Redefining Operations
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NVIDIA has unveiled a comprehensive AI platform for European retail, integrating digital discovery with physical operations. The centerpiece is the deployment of a GraphQL-based agent powered by a post-trained Nemotron 3.5 Lightning model, which achieves accuracy surpassing top-tier models while reducing service costs by 90% and improving response speed sevenfold. Additionally, OMI demonstrated significant speed improvements, running TRELLIS 3D asset generation on NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs with tenfold faster inference and fourfold lower pipeline latency. These advancements mark a shift toward more efficient, AI-driven retail infrastructure in Europe.
Written with AI from the reporting · updated 10/22/2026
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New at this step ·Shopify post-trains Nemotron 3.5 Lightning to slash inference costs by 90% and accelerate retail AI
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Shopify post-trains Nemotron 3.5 Lightning to slash inference costs by 90% and accelerate retail AINVIDIA Blog
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- 1Oct 22, 00:00recorded Oct 22, 14:08single source
NVIDIA Transforms European Retail With Open Models and Physi
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- NVIDIA Blog · Oct 22, 13:00Shopify post-trains Nemotron 3.5 Lightning to slash inference costs by 90% and accelerate retail AI
Shopify post-trained NVIDIA Nemotron 3.5 Lightning for its GraphQL subagent, achieving 90% lower serving costs and 7x faster responses while surpassing leading frontier models in accuracy. NVIDIA CCluster vLLM optimization software further reduced inference costs up to 12x across five additional retail use cases. European retailers including Zooplus and Photoroom deployed NVIDIA models to improve search accuracy and product image processing, with listings selling at higher rates.
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- NVIDIA BlogSelectedShopify post-trains Nemotron 3.5 Lightning to slash inference costs by 90% and accelerate retail AI
Shopify post-trained NVIDIA Nemotron 3.5 Lightning for its GraphQL subagent, achieving 90% lower serving costs and 7x faster responses while surpassing leading frontier models in accuracy. NVIDIA CCluster vLLM optimization software further reduced inference costs up to 12x across five additional retail use cases. European retailers including Zooplus and Photoroom deployed NVIDIA models to improve search accuracy and product image processing, with listings selling at higher rates.