{"id":167329,"date":"2023-07-11T14:25:17","date_gmt":"2023-07-11T19:25:17","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/07\/the-future-of-ai-and-everything-else-is-hybrid"},"modified":"2023-07-11T14:25:17","modified_gmt":"2023-07-11T19:25:17","slug":"the-future-of-ai-and-everything-else-is-hybrid","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/07\/the-future-of-ai-and-everything-else-is-hybrid","title":{"rendered":"The Future Of AI\u2014And Everything Else\u2014Is Hybrid"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/the-future-of-ai-and-everything-else-is-hybrid2.jpg\"><\/a><\/p>\n<p>Qualcomm recently released a white paper titled, \u201c<a href=\"https:\/\/www.qualcomm.com\/content\/dam\/qcomm-martech\/dm-assets\/documents\/Whitepaper-The-future-of-AI-is-hybrid-Part-1-Unlocking-the-generative-AI-future-with-on-device-and-hybrid-AI.pdf\" target=\"_blank\" class=\"\" title=\"https:\/\/www.qualcomm.com\/content\/dam\/qcomm-martech\/dm-assets\/documents\/Whitepaper-The-future-of-AI-is-hybrid-Part-1-Unlocking-the-generative-AI-future-with-on-device-and-hybrid-AI.pdf\" rel=\"nofollow noopener noreferrer\" aria-label=\"The Future of AI is Hybrid\">The Future of AI is Hybrid<\/a>.\u201d In the paper, they outline a clear case that for AI to develop to its maximum capabilities, it needs to be processed both on the cloud and the edge. Computing at the edge would improve issues like cost, energy use, reliability, latency issues, privacy\u2014all of the things that make scaling and growing a technology difficult. And they\u2019re right: for AI to optimize fully, it needs more than one partner, more than one solution. But the greater lesson here is: that\u2019s true for all technology moving forward.<\/p>\n<p><strong> <\/strong>When we hear the term \u201chybrid,\u201d many of us think of hybrid cars\u2014cars that run on both gasoline and electricity. We in the tech space eventually grabbed that term to refer to things like <a href=\"https:\/\/www.techtarget.com\/searchcloudcomputing\/definition\/hybrid-cloud#:~:text=A%20hybrid%20cloud%20model%20consists, internet%20or%20a%20dedicated%20network.\" target=\"_blank\" class=\"\" title=\"https:\/\/www.techtarget.com\/searchcloudcomputing\/definition\/hybrid-cloud#:~:text=A%20hybrid%20cloud%20model%20consists, internet%20or%20a%20dedicated%20network.\" rel=\"nofollow noopener noreferrer\" aria-label=\"hybrid cloud\">hybrid cloud <\/a>\u2014a situation where companies may process some of their data on the public cloud, private cloud, or data center in some type of mix. The goal in creating these hybrid models in technology was the same as it was with hybrid cars\u2014to reduce energy consumption, improve costs, enhance performance.<\/p>\n<p>The hybrid cars grew in popularity because they allowed users the enjoy the <a href=\"https:\/\/driving-tests.org\/beginner-drivers\/the-basics-of-hybrid-cars\/\" target=\"_blank\" class=\"\" title=\"https:\/\/driving-tests.org\/beginner-drivers\/the-basics-of-hybrid-cars\/\" rel=\"nofollow noopener noreferrer\" aria-label=\"best qualities of both types\">best qualities of both types<\/a> of cars\u2014gas and electric. Gas engines allow the hybrid to refuel quickly and move longer distances before needing fuel. The electric side helps cut emissions and save money. A similar concept is true for AI. AI needs somewhere powerful and stable for model training and inference, which require huge amounts of space for processing complex workloads. That\u2019s where the cloud comes in. At the same time, AI also needs to happen fast. For it to be useful, it needs to process closer to where the action actually happens\u2014the edge of a mobile device.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Qualcomm recently released a white paper titled, \u201cThe Future of AI is Hybrid.\u201d In the paper, they outline a clear case that for AI to develop to its maximum capabilities, it needs to be processed both on the cloud and the edge. Computing at the edge would improve issues like cost, energy use, reliability, latency [\u2026]<\/p>\n","protected":false},"author":578,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,8],"tags":[],"class_list":["post-167329","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-space"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/167329","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/578"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=167329"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/167329\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=167329"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=167329"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=167329"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}