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<\/figure>\n\n\n\nA revealing piece of data was recently provided by Meta: the processors used to train their Llama model had an annual failure rate of nearly 9%. This is a high figure for components that cost tens of thousands of euros per unit.<\/p>\n\n\n\n
If failures increase and the actual lifespan is closer to three years than six, the impact on operating costs is significant and has a clear consequence: AI data centers are more expensive to operate than previously thought.<\/p>\n\n\n\n
This is not only due to energy consumption, but also to the rapid depreciation of hardware and the increased maintenance and replacement costs.<\/p>\n\n\n\n
If profitability declines, someone will have to bear the cost. It could be the service provider, the end customers, or the investors who are currently funding this unprecedented expansion.<\/p>\n\n\n\n
Just a few years ago, these factors were not considered critical. Today, they are beginning to appear in the most realistic analyses of the sector.<\/p>\n\n\n\n
The general feeling is that the AI sector is focused on the short term. The priority is rapid growth, scaling at all costs, and market capture, often with external funding. But the economics of hardware are unforgiving, and sooner or later, the numbers prevail.<\/p>\n\n\n\n
This doesn't mean AI is a bubble about to burst. But it does suggest that not everything is as profitable as it seems, especially when analyzing long-term costs.<\/p>\n\n\n\n
The question is now on the table: will this rate of investment remain sustainable when hardware ages so quickly?<\/p>\n\n\n\n
Time, as always, will tell.<\/p>\n\n\n\n
<\/p>","protected":false},"excerpt":{"rendered":"
Views: 3 El auge de la inteligencia artificial est\u00e1 impulsando la construcci\u00f3n masiva de centros de datos en todo el mundo. Cada nuevo modelo, cada nuevo servicio y cada promesa de automatizaci\u00f3n requiere miles de chips especializados. Pero detr\u00e1s de este crecimiento acelerado empieza a aparecer un problema del que se habla poco: los chips […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[128,147,174,153,135],"tags":[],"class_list":["post-4227","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-electronics","category-energy","category-industry","category-technology"],"yoast_head":"\n