Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2502.01671/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTLife-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends — mentioned by grandmczebhttps://news.ycombinator.com/item?id=43544892urn:hackerpapers:mention:2502.01671:43544892Tue, 01 Apr 2025 09:59:26 GMT<p>Your home setup is much less efficient than production inference in a data center. Open source implementation of SDXL-Lightning runs at 12 images a second on TPU v5e-8, which uses ~2kW at full load. That’s 170J or about 1/400th the phone charge. https://cloud.google.com/blog/products/compute/accelerating-... https://arxiv.org/pdf/2502.01671</p><p><a href="https://hackerpaper.kaipfister.de/p/2502.01671/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.AR