2025年人工智能(AI)基础设施状况报告

Thank you for interest in this eBook. As a Google Cloud partner, we at [Partner company] are committed to providing you with the resources and insights you need to make informed decisions aboutyour cloud journey. We believe that this eBook will provide valuable insights into the benefits and capabilities of Google Cloud. [Partner company] is equipped to support you with[value proposition related to the report]. If you have any questions or would like to discuss your specific requirements, please do not hesitate tocontact us. Sincerely,Wursta
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0-D # #  #  D    9 D# D 9#  D - 401D  #01#   D- # D#D #  9D   #-D# D# 9#D-0D H1-4 D# 9#D D9#9#D 91#$# D#D 9#D D9D#  #  4D D  #D #D 40 =D#D 4#   #D D  DDL  D  = nlifkbh`S^fc[\\eZWdUZ\aVd_TgdQ]TWmP\TOdRT\VamPdYjXjeWNWXP @ DD  DD#  9##D- D D 41 -#""! #  D  #$ 9D D -#  Gen AI ROI relies on bothinternal and external use cases02 64% A robust AIplatform isa leading criteriawhen evaluatinginfrastructureT Mostorganizationsrely on gen AIsolutions fromcloud providers Optimized infrastructure is crucialfor gen AI success The success of any gen AI initiative hinges on theunderlying infrastructure. This isn't simply about addinganother workload, it's about building a foundation thatcan support the unique and rapidly evolving demandsof AI—regardless of whether you’re aiming to increasecustomer satisfaction or reduce operational costs. It needs to be scalable, performant, and reliable tohandle the parallel processing of large training datasets,as well as the extended context windows and multi-stepprocessing of inference and reasoning. And of course—it has to be cost efficient. Sound like an impossible task? Not if you have a plan.Gen AI is redefining organizations’ IT strategy, and it isn’tslowing down. This research reveals where leadingbusinesses across all industries are on their 7ourney. As youre-examine your cloud infrastructure strategy, considerwhich providers have capabilities to serve not only AIexperts, but also your developers and lines of business. This foundation needs to do some heavy lifting. It mustbe secure to safeguard both intellectual property andcustomer data. It has to be distributed—providingmanaged services in the public cloud and extending intoyour data center or to the network edge for latency anddata sovereignty requirements. A look acrossindustries At what stage is your organi¥ation in terms of gen AI adoption°(by industry) These findings are consistent across industries—technology leaders across the board haveoverwhelmingly adopted gen AI in theirorganizations and agree that it’s essential to theirbusiness. Let’s take an in-depth look at the data. Across industries, the majority of organizationsare either actively developing or deploying gen AIin production, showing that companies are alreadyinvesting heavily in gen AI and are planning tocontinue to invest. As may be expected,organizations in tech-related industries have beenboth Euicker to move gen AI pilots to productionand have higher gen AI adoption rates overall.’ However, the gen AI imperative has pushed nearlyevery company, regardless of industry, to invest ingen AI. Even industries that show lower in-production rates, such as financial services andmanufacturing, have strong experimentation anddevelopment rates. Tech leaders in everyindustry agree thatgen AI is essential totheir organizations’success2 How important is gen AI to your organization's current and futurebusiness operations? (Extremely/very important, by industry) While a staggering 79% of leadersoverall believe gen AI is very orextremely important to their business,this percentage is even higher fortechrelated industries li e Iconsulting (91%) and computerhardware/software (88%). AI is no longer a futuristic concept—it's a core businessdriver and a fundamental shift in how organizations work.IT leaders have moved past talking about acknowledgedpotential and have turned to building an infrastructurethat can support the growing demands of AI workloads. With most org