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Title: Igor Anatolyevich Voronin Publishes New Analysis on How GPU Power Is Steering the Next Wave of Generative AI

Zug, Switzerland, 19th Nov 2025 - Technologist and product architect Igor Anatolyevich Voronin, co-founder of Aimed, has published a new analysis explaining how GPU availability, efficiency, and operational discipline are now the primary drivers of progress in generative AI, often more than algorithmic novelty. The piece, “How GPU Power Is Shaping the Next Wave of Generative AI,” outlines practical implications for teams building AI features at production scale, including inference economics, capacity planning, and reliability guardrails.“Model quality increasingly tracks compute reality,” said Igor Voronin. “Teams that win won’t just be clever with prompts—they’ll be rigorous about throughput, latency budgets, and cost-per-result. The next wave of GenAI favors builders who instrument for outcomes, design safe degradation paths, and treat observability as a product feature.”In the article, Voronin presents:A cost-aware lens on training vs. inference trade-offsA rollout checklist for moving from demo to dependable featureReliability practices that keep systems calm as scale risesDecision signals for when to add GPU capacity—or optimize first Voronin’s perspective draws on 27+ years across software, automation, and SaaS, and applied research at Petrozavodsk State University focused on efficiency and operational reliability. At Aimed (HQ Switzerland), he leads distributed teams that turn complex capability into simple, dependable products.Read the analysis:Article: https://ai.plainenglish.io/how-gpu-power-is-shaping-the-next-wave-of-generative-ai-ece9a66bd83eAuthor page: https://igorvoronin.com/about/

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