{"version":1,"type":"story","url":"https://digestai.news/story/lotus-microsystems-ceo-explains-power-deliverys-role-in-ai-scaling","json":"https://digestai.news/story/lotus-microsystems-ceo-explains-power-deliverys-role-in-ai-scaling.json","markdown":"https://digestai.news/story/lotus-microsystems-ceo-explains-power-deliverys-role-in-ai-scaling.md","slug":"lotus-microsystems-ceo-explains-power-deliverys-role-in-ai-scaling","headline":"Lotus Microsystems CEO explains power delivery’s role in AI scaling","summary":"Hans Hasselby-Andersen, CEO of Lotus Microsystems, argues that power delivery and thermal management are critical bottlenecks in AI infrastructure scaling. His background spans wireless systems, semiconductor development, and acquisitions like Merus Audio by Infineon, shaping his focus on energy-efficient solutions. Hasselby-Andersen highlights that traditional power architectures struggle with the high current demands of AI accelerators, leading to losses of **7–10%** in final-stage delivery to processors—energy wasted as heat that must later be removed.\n\nLotus’s **vStrata** platform combines vertical power delivery with thermal management, claiming **96% point-of-load efficiency** and **25°C temperature reductions**. Hasselby-Andersen emphasizes that future AI performance gains depend on integrating power, cooling, and packaging design early, rather than treating them as separate challenges. He warns that current trends—like higher-power GPUs and custom accelerators—will push power demands toward **6,000–8,000 amps**, requiring tighter collaboration between chipmakers, power specialists, and system engineers.","keyPoints":["Lotus Microsystems’ vStrata platform claims 96% efficiency and 25°C cooling gains for AI servers","Traditional power delivery loses 7–10% of energy before reaching processors, per CEO estimates","Hasselby-Andersen warns AI scaling requires integrated power, thermal, and packaging design"],"whyItMatters":"Efficient power delivery could cut AI data center energy waste by reducing losses before cooling even begins, easing grid strain and operational costs.","category":{"slug":"hardware","name":"Hardware & Compute","url":"https://digestai.news/category/hardware"},"entities":{"companies":["Lotus Microsystems","Infineon","Texas Instruments","Merus Audio","Nokia","Toccata Technology"],"models":[],"people":["Hans Hasselby-Andersen"]},"firstPublishedAt":"2026-11-05T16:59:36Z","updatedAt":"2026-11-05T16:59:36Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"Unite.AI","title":"Hans Hasselby-Andersen, CEO of Lotus Microsystems","url":"https://unite.ai/hans-hasselby-andersen-ceo-of-lotus-microsystems-interview-series","publishedAt":"2026-11-05T16:59:36Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Lotus Microsystems CEO explains power delivery’s role in AI scaling\", 5 November 2026, https://digestai.news/story/lotus-microsystems-ceo-explains-power-deliverys-role-in-ai-scaling","publisher":"Digest AI","title":"Lotus Microsystems CEO explains power delivery’s role in AI scaling","datePublished":"2026-11-05T16:59:36Z","url":"https://digestai.news/story/lotus-microsystems-ceo-explains-power-deliverys-role-in-ai-scaling"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}