{"id":78001,"date":"2023-08-28T13:57:54","date_gmt":"2023-08-28T17:57:54","guid":{"rendered":"https:\/\/www.commvault.com\/?p=78001"},"modified":"2023-08-28T13:57:55","modified_gmt":"2023-08-28T17:57:55","slug":"how-to-afford-ai","status":"publish","type":"post","link":"https:\/\/www.commvault.com\/blogs\/how-to-afford-ai","title":{"rendered":"How to Afford AI (Without Being Tony Stark)"},"content":{"rendered":"\n
Fans of science fiction know Artificial Intelligence (AI) is a recurring theme \u2013 and has been for quite some time. Movies, books and even video games embrace it as an advanced technology that powers robots, cyborgs, spaceships \u2013 you name it. And core to the mythos of AI is that it thinks in a manner indistinguishable from that of a human, while operating with the speed and intelligence of a computer.<\/p>\n\n\n\n
We\u2019re not there yet; as much as I\u2019d like my own version of Tony Stark\u2019s Mark V armor, I\u2019ll have to settle for being able to ask Alexa facts about Chuck Norris. But we are making swift progress \u2013 I recently learned a popular online tech publication had been using AI to generate articles for months \u2013 and was none the wiser, thanks to ChatGPT and other Large Language Models (LLMs). <\/p>\n\n\n\n
LLMs promise to revolutionize how we interact personally and professionally. We\u2019re seeing incredible interest and funding being poured into their development \u2013 and it\u2019s just beginning. In today\u2019s business world, AI is being viewed as the key to unlock technological advancement, competitive advantage, and in turn, profitability.<\/p>\n\n\n\n
It\u2019s why tech giants like Microsoft, Meta, and Google each referenced AI almost 50 times<\/a> in their recent earnings calls. As a result, you may be asking yourself \u201cWhat if AI could help my business\u2026\u201d<\/p>\n\n\n\n The good news is that it can absolutely do all the above.<\/p>\n\n\n\n The bad news? AI isn\u2019t free. Quite the opposite, in fact.<\/p>\n\n\n\n AI, like anything in its infancy, requires learning. So how does one go about teaching ChatGPT and other LLMs how to work? Simply put, money. Tony Stark kind of money.<\/p>\n\n\n\n It\u2019s been reported that ChatGPT utilized over 10,000 GPUs<\/a> (Graphic Processing Units) to train it. (Now we know where all the graphics cards went for the last two years.) And the most powerful GPU on the planet will run you $30,000<\/a>. Which means ChatGPT had an awfully expensive childhood. But that\u2019s not all. It\u2019s estimated that ChatGPT costs upwards of $700,000 per day<\/a> to operate. Why? Well\u2026<\/p>\n\n\n\n If generating AI were as simple as harnessing the pixel pushing power of Nvidia or AMD, we would see it proliferate at an even higher rate than it currently is. But to deliver AI, you need additional hardware and infrastructure. That means servers \u2013 many, many servers. And not coincidentally, today\u2019s enterprises need the same to fulfill their data protection needs. And where do they turn to do that? The cloud.<\/em><\/p>\n\n\n\n That\u2019s right \u2013 the same infrastructure that defends, protects, and secures your data is now being used to make AI available to the masses. It drives LLMs, machine learning, and automation, just to name a few. Those use cases are going to exponentially increase because AI makes great use of raw computing power and scalability. And because the more things change, the more they stay the same \u2013 in this instance, we\u2019re talking about reducing the cost of AI to ensure a healthy bottom line for your business.<\/p>\n\n\n\n The natural progression of innovation and technical economics involves experimenting to find a way to optimize a use case in hardware (silicon processors) \u00a0and then shift it into software (ChatGPT) \u00a0so that everyone can benefit from it. Using that logic, you\u2019re probably already in the cloud. More likely, multiple clouds. To take advantage of this paradigm, you need to implement cost-effective solutions that ensure the integrity of your dataset.<\/p>\n\n\n\n One way to do so is by using Data Protection as a Service (DPaaS) to reduce your operational spend on cloud Infrastructure <\/em>to help pay for those growing AI bills. You\u2019re already optimizing your business in myriad ways; this methodology is a natural fit. It\u2019s a virtuous cycle: grow your business by utilizing existing resources to reduce costs, which are then invested back into the business.<\/p>\n\n\n\n Where DPaaS is concerned, enterprises are rightfully focused on security first, with TCO (Total Cost of Ownership) being a close second. TCO is quantitative in nature, so it can be difficult to know how to evaluate vendor claims. At the end of the day, these are the current table stakes:<\/p>\n\n\n\n If you can check all of the above boxes, you\u2019re well on your way to driving down the cost of your data protection investment. Now it\u2019s time to start thinking about what\u2019s next and where to reinvest those savings.<\/p>\n\n\n\n AI-enhanced data protection will offer continuous innovation, based on machine learning and other advancements that are driven by the needs of modern organizations. And because we are at the intersection of data protection not only in the cloud, but also on-premises, we need a unique perspective on what that could look like. What if you could:<\/p>\n\n\n\n Soon, these will be the new table stakes. Your data protection, whether you know it or not, is a direct on-ramp for your ability to harness AI, affordably.<\/p>\n\n\n\n It\u2019s YOUR data. What will you do with it?<\/p>\n","protected":false},"excerpt":{"rendered":" Discover more about how Artificial Intelligence (AI) has been a recurrent theme in video games, novels, and even movies for a while now.<\/p>\n","protected":false},"author":85,"featured_media":78002,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_custom_css":"","_custom_js_footer":"","_page_background_color":"","_remove_from_search":false,"_dark_mode":false,"_light_footer_mode":false,"_sidebar_form":{"id":"","name":"","cta":"","redirect":""},"_alert_notification_bar":{"show":true,"bg_color":"","content":"","call_to_action_label":"","call_to_action_link":""},"_footer_cta":{"show":false,"title":"","subtitle":"","cta_text":"","cta_link":"","background":{"id":0,"url":""}},"_cmv_customer_logo":{"id":0,"url":""},"_jetpack_memberships_contains_paid_content":false,"i18n_hreflangs":"","footnotes":""},"categories":[206],"tags":[],"cmv_author":[937],"class_list":{"0":"post-78001","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-protection-2","8":"cmv_author-david-ngo","9":"entry"},"yoast_head":"\nThe Cost of AI<\/strong><\/h2>\n\n\n\n
AI Requires Cloud Infrastructure<\/strong><\/h2>\n\n\n\n
Extra ROI from Your Data Protection Platform<\/strong><\/h2>\n\n\n\n
Driving Down Today\u2019s TCO is Just the Start<\/strong><\/h2>\n\n\n\n
The Future of Data Protection<\/strong><\/h2>\n\n\n\n