{"schema_version":"onlylabs.public_signal.v1","title":"Scaleway Writing: How Sustainable is AI?","description":"Scaleway writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/2b2f7bc1-f50d-4075-8f9b-85c32afc8f0e","json_url":"https://onlylabs.fyi/signals/2b2f7bc1-f50d-4075-8f9b-85c32afc8f0e/signal.json","generated_at":"2026-06-08T15:46:13.459+00:00","org":{"slug":"scaleway","name":"Scaleway","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/scaleway","dossier_json_url":"https://onlylabs.fyi/labs/scaleway/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/2b2f7bc1-f50d-4075-8f9b-85c32afc8f0e","signal_json":"https://onlylabs.fyi/signals/2b2f7bc1-f50d-4075-8f9b-85c32afc8f0e/signal.json","source":"https://www.scaleway.com/en/blog/how-sustainable-is-ai/","lab_dossier":"https://onlylabs.fyi/labs/scaleway","lab_dossier_json":"https://onlylabs.fyi/labs/scaleway/dossier.json","analysis":"https://onlylabs.fyi/analysis/scaleway","analysis_json":"https://onlylabs.fyi/analysis/scaleway/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/scaleway/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neocloud","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neocloud","data_business":null},"answer_pack":{"answer":"Scaleway published How Sustainable is AI?. 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Build • James Martin • 15/02/24 • 6 min read Just over a year after the ChatGPT-fuelled generative AI explosion, it’s hard to remember a time without these groundbreaking tools. However, it remains to be seen if the breakneck speed of change has given us enough time to fully assess generative AI’s true impact on the planet. So let’s take a look. The impact, in figures First and foremost, it’s now well established that generative AI requires considerably more computing power than standard calculations. A key reason for this is that generative AI model training calls for GPUs rather than CPUs. The former generally requires around four times more energy than the latter (case in point: Ampere’s CPUs for AI consume 3-5 times less energy than the equivalent NVIDIA machines ). Furthermore, as AI GPUs tend to generate 2.5x more heat than CPUs (standard CPUs used in cloud computing are in the range of 250-350W TDP, whereas GPUs are in the 750-800W range, cf. Intel , AMD x2 , & NVIDIA ), they require that much extra cooling power. So the processors needed for generative AI training and inference are considerably more power-hungry than pre-generative AI models. Then..."},"evidence_pages":[{"url":"https://arxiv.org/pdf/2311.16863.pdf","final_url":"https://arxiv.org/pdf/2311.16863","title":"How Sustainable is AI?","http_status":200,"content_type":"application/pdf","capture_method":"exa","fetched_at":"2026-06-08T15:46:13.459+00:00","bytes":936671,"raw_path":"8d3092b48f95b04c44d40822af49207891d7d095cd93f03a360d16a365f57d19.pdf","content_hash":"997025051680fd262e80da571ddb74d2af4e8f023baea9b6d4bd7539d163ab33","excerpt_chars":1200,"truncated":true,"excerpt":"Power Hungry Processing: Watts Driving the Cost of AI Deployment? Power Hungry Processing: Watts Driving the Cost of AI Deployment? Alexandra Sasha Luccioni sasha.luccioni@huggingface.co, Yacine Jernite Hugging FaceCanada/USA and Emma Strubell Carnegie Mellon University, Allen Institute for AIUSA (2024) Abstract. Recent years have seen a surge in the popularity of commercial AI products based on generative, multi-purpose AI systems promising a unified approach to building machine learning (ML) models into technology. However, this ambition of “generality” comes at a steep cost to the environment, given the amount of energy these systems require and the amount of carbon that they emit. In this work, we propose the first systematic comparison of the ongoing inference cost of various categories of ML systems, covering both task-specific (i.e. finetuned models that carry out a single task) and ‘general-purpose’ models, (i.e. those trained for multiple tasks). We measure deployment cost as the amount of energy and carbon required to perform 1,000 inferences on representative benchmark dataset using these models. We find that multi-purpose, generative architectures are orders of..."},{"url":"https://www.scaleway.com/en/blog/how-sustainable-is-ai/","final_url":"https://www.scaleway.com/en/blog/how-sustainable-is-ai/","title":"How Sustainable is AI?","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-06-07T21:16:34.684775+00:00","bytes":176072,"raw_path":"7ad03f3101ca64989617e2f99b58751020336f8f7054180ccb0b4c29f95627f5.html","content_hash":"356af8db51d5af7a8ca1018938aac38ac18d3a9454bd4bcd266b855bc364e61e","excerpt_chars":1200,"truncated":true,"excerpt":"How Sustainable is AI? Build • James Martin • 15/02/24 • 6 min read Just over a year after the ChatGPT-fuelled generative AI explosion, it’s hard to remember a time without these groundbreaking tools. However, it remains to be seen if the breakneck speed of change has given us enough time to fully assess generative AI’s true impact on the planet. So let’s take a look. The impact, in figures First and foremost, it’s now well established that generative AI requires considerably more computing power than standard calculations. A key reason for this is that generative AI model training calls for GPUs rather than CPUs. The former generally requires around four times more energy than the latter (case in point: Ampere’s CPUs for AI consume 3-5 times less energy than the equivalent NVIDIA machines ). Furthermore, as AI GPUs tend to generate 2.5x more heat than CPUs (standard CPUs used in cloud computing are in the range of 250-350W TDP, whereas GPUs are in the 750-800W range, cf. Intel , AMD x2 , & NVIDIA ), they require that much extra cooling power. So the processors needed for generative AI training and inference are considerably more power-hungry than pre-generative AI models. Then..."}],"related_signals":[{"id":"b0ad8b34-33f4-455d-b0bc-9c40f34e08e5","url":"https://onlylabs.fyi/signals/b0ad8b34-33f4-455d-b0bc-9c40f34e08e5","source_url":"https://www.scaleway.com/en/blog/secnumcloud-strategic-challenges/","title":"SecNumCloud: The Strategic Challenges of The Qualification","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-05-18T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"1ebc5528-9bd0-4245-8610-f28f9e3c5701","url":"https://onlylabs.fyi/signals/1ebc5528-9bd0-4245-8610-f28f9e3c5701","source_url":"https://www.scaleway.com/en/blog/what-is-file-storage/","title":"What is File Storage ?","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-05-11T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"25d2fe5f-0386-4230-88d5-a8441b913ea5","url":"https://onlylabs.fyi/signals/25d2fe5f-0386-4230-88d5-a8441b913ea5","source_url":"https://www.scaleway.com/en/blog/secnumcloud-trusted-cloud-standard/","title":"SecNumCloud: Understanding the trusted cloud standard","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-05-11T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"5ab5596e-ffbc-4a9e-84f9-cb54758bd5ff","url":"https://onlylabs.fyi/signals/5ab5596e-ffbc-4a9e-84f9-cb54758bd5ff","source_url":"https://www.scaleway.com/en/blog/risc-v-servers-in-the-cloud/","title":"How Scaleway brought the first RISC-V servers to the cloud","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-05-04T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"868f0aa0-2b52-47bf-afa3-5b656454f763","url":"https://onlylabs.fyi/signals/868f0aa0-2b52-47bf-afa3-5b656454f763","source_url":"https://www.scaleway.com/en/blog/updates-on-top-level-domain-tld-price-list/","title":"Updates on Top-Level Domain (TLD) price list","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-04-27T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"},{"id":"ee327ff2-954d-407d-8d37-447f25d5ddf5","url":"https://onlylabs.fyi/signals/ee327ff2-954d-407d-8d37-447f25d5ddf5","source_url":"https://www.scaleway.com/en/blog/a-transparent-update-on-scaleway-pricing/","title":"A transparent update on Scaleway pricing","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"scaleway","name":"Scaleway","category":"neocloud"},"occurred_at":"2026-04-27T00:00:00+00:00","first_seen_at":"2026-06-05T22:32:15.955798+00:00","date_source":"source"}]}