{"id":112134,"date":"2025-05-30T09:21:06","date_gmt":"2025-05-30T16:21:06","guid":{"rendered":"https:\/\/www.backblaze.com\/blog\/?p=112134"},"modified":"2025-05-30T09:21:07","modified_gmt":"2025-05-30T16:21:07","slug":"the-hidden-costs-of-ai-why-your-cloud-bill-is-exploding","status":"publish","type":"post","link":"https:\/\/www.backblaze.com\/blog\/the-hidden-costs-of-ai-why-your-cloud-bill-is-exploding\/","title":{"rendered":"The Hidden Costs of AI: Why Your Cloud Bill is Exploding"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"583\" src=\"https:\/\/backblazeprod.wpenginepowered.com\/wp-content\/uploads\/2025\/03\/bb-bh-Cost-of-Cloud-Storage_Final-1-1024x583.png\" alt=\"A decorative image showing buildings of many sizes.\" class=\"wp-image-111978\"\/><\/figure>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>AI workloads don\u2019t play by the same rules as your average enterprise app, and if you\u2019ve looked at your cloud bill lately, you probably know that already. They have unique demands that make them especially vulnerable to <a href=\"https:\/\/www.backblaze.com\/blog\/escaping-egress-hidden-cloud-fees-every-cfo-should-know\/\">hidden AI storage costs<\/a>. Think: massive parallel GPU training, nonstop data shuffling, and frequent checkpointing.<\/p>\n\n\n\n<p>The problem? Most cloud pricing models weren\u2019t built for this kind of action. They were designed when workloads were a lot more predictable. So, when you run AI workloads on storage models built by hyperscalers, the costs add up quickly, and often invisibly.&nbsp;<\/p>\n\n\n\n<div class=\"abstract\" style=\"line-height: 1.8; margin: 24px 12px; padding: 24px 12px 10px 12px;\">\n<h4>Download the ebook<\/h4>\n<p>Struggling to keep AI storage costs under control? Download our free ebook to discover how to optimize cloud storage for AI workloads\u2014without compromising performance.<br \/>\n<br \/>\n\n<!--HubSpot Call-to-Action Code --><span class=\"hs-cta-wrapper\" id=\"hs-cta-wrapper-e087911a-133b-438d-af77-8eb2caee6fed\"><span class=\"hs-cta-node hs-cta-e087911a-133b-438d-af77-8eb2caee6fed\" id=\"hs-cta-e087911a-133b-438d-af77-8eb2caee6fed\"><!--[if lte IE 8]><div id=\"hs-cta-ie-element\"><\/div><![endif]--><a href=\"https:\/\/cta-redirect.hubspot.com\/cta\/redirect\/2832298\/e087911a-133b-438d-af77-8eb2caee6fed\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"hs-cta-img\" id=\"hs-cta-img-e087911a-133b-438d-af77-8eb2caee6fed\" style=\"border-width:0px;\" src=\"https:\/\/no-cache.hubspot.com\/cta\/default\/2832298\/e087911a-133b-438d-af77-8eb2caee6fed.png\"  alt=\"Get the Ebook \u2794\u00a0\"\/><\/a><\/span><script charset=\"utf-8\" src=\"https:\/\/js.hscta.net\/cta\/current.js\"><\/script><script type=\"text\/javascript\"> hbspt.cta.load(2832298, 'e087911a-133b-438d-af77-8eb2caee6fed', {\"useNewLoader\":\"true\",\"region\":\"na1\"}); <\/script><\/span><!-- end HubSpot Call-to-Action Code -->\n<\/p><\/div>\n\n\n\n<p>Here are five reasons your cloud bill for AI workloads could spiral out of control:<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">1. Death by API call: Soaring costs in AI training pipelines.<\/h2>\n\n\n\n<p>AI workloads are packed with transactions. Every ingest of raw data, training round, inference batch, or logging step triggers API calls\u2014PUTs, GETs, LISTs, and COPYs. If you\u2019re training a foundational model like Deepseek v3 or Llama 2, you could be making millions of small transactions a day just by uploading all the raw data you require for training.<\/p>\n\n\n\n<p>Each transaction might cost a fraction of a cent\u2014but they add up.&nbsp;<\/p>\n\n\n\n<p>Example: Let\u2019s assume a model needs 1 trillion pretraining tokens. Different data sources contribute varying numbers of tokens per file. For this exercise, let\u2019s assume the following token counts:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Web pages: ~1,000 tokens\/page (e.g., blog posts, articles)<\/li>\n\n\n\n<li>Books: ~100,000 tokens\/book (avg. 300 page novel)<\/li>\n\n\n\n<li>Code repositories: ~500 tokens\/file (e.g., GitHub scripts)<\/li>\n\n\n\n<li>News articles: ~800 tokens\/article<\/li>\n\n\n\n<li>Academic papers: ~5,000 tokens\/paper<\/li>\n<\/ul>\n\n\n\n<p>A typical large language model (LLM) training mix might look like this:<\/p>\n\n\n\n<table id=\"tablepress-80\" class=\"tablepress tablepress-id-80\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Source<\/th><th class=\"column-2\">% of tokens<\/th><th class=\"column-3\">Tokens contribution<\/th><th class=\"column-4\">Files required (approx.)<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Web pages<\/td><td class=\"column-2\">40%<\/td><td class=\"column-3\">400B tokens<\/td><td class=\"column-4\">400M files<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Books<\/td><td class=\"column-2\">20%<\/td><td class=\"column-3\">200B tokens<\/td><td class=\"column-4\">2M files<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Code<\/td><td class=\"column-2\">15%<\/td><td class=\"column-3\">150B tokens<\/td><td class=\"column-4\">300M files<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">News articles<\/td><td class=\"column-2\">15%<\/td><td class=\"column-3\">150B tokens<\/td><td class=\"column-4\">187.5M files<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Academic papers<\/td><td class=\"column-2\">10%<\/td><td class=\"column-3\">100B tokens<\/td><td class=\"column-4\">20M files<\/td>\n<\/tr>\n<\/tbody>\n<tfoot>\n<tr class=\"row-7\">\n\t<th class=\"column-1\">Total<\/th><th class=\"column-2\">100%<\/th><th class=\"column-3\">1T tokens<\/th><th class=\"column-4\">~909.5M files<\/th>\n<\/tr>\n<\/tfoot>\n<\/table>\n<!-- #tablepress-80 from cache -->\n\n\n<p>If you\u2019re ingesting 909.5 million files to AWS S3 at $0.005 per 1,000 PUTs (pricing as of April 2025), then you\u2019d be charged:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>909,500,000 \u00f7 1,000 = 909,500 units<\/li>\n\n\n\n<li>909,500 \u00d7 $0.005 = $4,547.50<\/li>\n<\/ul>\n\n\n\n<p>That\u2019s $4,547.50 in just PUT transaction fees\u2014for just collecting all the data you need for training. And that\u2019s not counting GETs, LISTs, or any other operations that are necessary to support the full AI data pipeline.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">2. The small file tax: How small files drive up AI cloud storage costs<\/h2>\n\n\n\n<p>Models trained on image slices, text tokens, or time-series data can create millions of small files. These not only trigger excessive API calls, but also suffer from the following:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Some providers bill you by minimum object size (e.g., rounding all small files up to 128KB).<\/li>\n\n\n\n<li>Every small object can trigger a full-priced transaction.<\/li>\n\n\n\n<li>Frequent access means you\u2019re paying for reads, not just storage.<\/li>\n<\/ul>\n\n\n\n<p>This mismatch means your dataset of 100 million 10KB files could behave (and cost) like a much larger, high-churn workload.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">3. Why cold storage fails for AI data workloads<\/h2>\n\n\n\n<p>Deep archive tiers may be cheap upfront, but they\u2019re a poor fit for iterative AI workflows. Need to rehydrate training data to rerun a model? Get ready to wait hours and pay per retrieval. Need to delete? You could get hit with minimum retention penalties, and pay for that data as if you held onto it for 60, 90, or even 180 days.&nbsp;<\/p>\n\n\n\n<p>AI workflows are iterative. You\u2019re not archiving log files; you\u2019re experimenting, fine-tuning, and reprocessing constantly. Cold storage is rarely compatible with that.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">4. Egress fees: The hidden cost of moving AI training data<\/h2>\n\n\n\n<p><a href=\"https:\/\/www.backblaze.com\/blog\/cloud-101-data-egress-fees-explained\/\">Egress<\/a> is a silent killer. It\u2019s the fee you pay every time you move data out of cloud storage. In AI workflows, that\u2019s often necessary for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sending training data to a GPU cluster.<\/li>\n\n\n\n<li>Validating models on a local system.<\/li>\n\n\n\n<li>Migrating to another provider.<\/li>\n\n\n\n<li>Collaborating with partners across clouds or regions.<\/li>\n<\/ul>\n\n\n\n<p>These fees scale linearly with data volume, which is a problem when your AI pipeline is pulling terabytes or petabytes per day.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">5. AI data lifecycle rules can backfire<\/h2>\n\n\n\n<p>You might set up lifecycle rules to move infrequently accessed data to cheaper tiers\u2014sounds smart, right?<\/p>\n\n\n\n<p>Except:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Lifecycle transitions often come with per-object fees.<\/li>\n\n\n\n<li>Accessing those objects later triggers retrieval fees, or breaks performance expectations.<\/li>\n\n\n\n<li>Deleting or overwriting too early triggers penalties.<\/li>\n<\/ul>\n\n\n\n<p>And all of this assumes you even know your data\u2019s \u201ctemperature\u201d in advance\u2014which, in AI workflows, changes day to day.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Smarter AI Storage<\/h2>\n\n\n\n<p>Your AI pipeline isn\u2019t just a compute problem: It\u2019s a data movement and storage orchestration engine. And that\u2019s exactly where traditional cloud pricing models fall short.&nbsp;<\/p>\n\n\n\n<p>If your cloud bill is blowing up, it\u2019s probably not just because you kicked off another training run. It\u2019s the millions of GET requests, the silent egress charges, and those archive tier retrievals you didn\u2019t plan for.<\/p>\n\n\n\n<p>The good news? Once you know where the hidden costs are, you can start building smarter.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI workloads don\u2019t behave like typical enterprise apps\u2014and your cloud bill reflects that. Here are five ways your storage bill can quietly spiral.<\/p>\n","protected":false},"author":205,"featured_media":111978,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[7,434,438],"tags":[489,468],"class_list":["post-112134","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cloud-storage","category-featured-1","category-featured-cloud-storage","tag-ai-ml","tag-b2cloud","entry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Hidden Costs of AI: Why Your Cloud Bill is Exploding<\/title>\n<meta name=\"description\" content=\"AI training pipelines generate millions of transactions and small files\u2014all of which can inflate your cloud bill. Here are 5 costly pitfalls.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.backblaze.com\/blog\/the-hidden-costs-of-ai-why-your-cloud-bill-is-exploding\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Hidden Costs of AI: Why Your Cloud Bill is Exploding\" \/>\n<meta property=\"og:description\" content=\"AI training pipelines generate millions of transactions and small files\u2014all of which can inflate your cloud bill. Here are 5 costly pitfalls.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.backblaze.com\/blog\/the-hidden-costs-of-ai-why-your-cloud-bill-is-exploding\/\" \/>\n<meta property=\"og:site_name\" content=\"Backblaze Blog | Cloud Storage &amp; Cloud Backup\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/backblaze\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-30T16:21:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-05-30T16:21:07+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/backblazeprod.wpenginepowered.com\/wp-content\/uploads\/2025\/03\/bb-bh-Cost-of-Cloud-Storage_Final-1-e1741106460615.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1440\" \/>\n\t<meta property=\"og:image:height\" content=\"820\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"David Johnson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@backblaze\" \/>\n<meta name=\"twitter:site\" content=\"@backblaze\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"David Johnson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"The Hidden Costs of AI: Why Your Cloud Bill is Exploding","description":"AI training pipelines generate millions of transactions and small files\u2014all of which can inflate your cloud bill. 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With extensive experience building the product marketing function at Vultr, he brings deep knowledge of the cloud infrastructure industry to Backblaze. David's passion for technology means his basement is a mini data center, filled with homelab projects where he spends his free time enhancing his knowledge of the industry and becoming a better informed expert on all things backup and archive. Connect with him on LinkedIn.","url":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/author\/davidjohnson\/"}]}},"jetpack_featured_media_url":"https:\/\/backblazeprod.wpenginepowered.com\/wp-content\/uploads\/2025\/03\/bb-bh-Cost-of-Cloud-Storage_Final-1-e1741106460615.png","_links":{"self":[{"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/posts\/112134","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/users\/205"}],"replies":[{"embeddable":true,"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/comments?post=112134"}],"version-history":[{"count":0,"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/posts\/112134\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/media\/111978"}],"wp:attachment":[{"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/media?parent=112134"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/categories?post=112134"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/backblazeprod.wpenginepowered.com\/blog\/wp-json\/wp\/v2\/tags?post=112134"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}