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要从基因AI开始，首先关注能够改善人类信息体验的领域。
OpenAI现在在所有三个主要云提供商平台上都有其模型，因为它完善了企业战略。
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随着前沿AI提供商决定在Google Cloud上提供其模型，AI竞赛的新阶段正在形成，旨在为那些需要对其选定的云基础设施作出更大模型选择的企业提供餐饮服务。
OpenAI和Google Cloud星期三透露，OpenAI的模型和Codex代理工作流程现在将在Google模型花园上提供。
模型花园是Google云AI平台内部AI模型的目录，属于Gemini企业Agent平台的一部分，原名Vertex AI. OpenAI 称其型号很快也会以Google Antigravity提供，这个平台让AI agents写，运行，测试和管弦乐代码。 它也将很快来到Gemini Agent.
客户企业已经安装在Google云基础设施上，可以在已经使用的环境中访问OpenAI的模型。 此举使得企业能够将OpenAI的模型与Google Cloud的内置访问控制，数据治理和基础设施对齐。
OpenAI的型号在Google上的可用性是在OpenAI与Google的竞争对手Microsoft和OpenAI于4月在AWS上首次发布其型号后，OpenAI结束了它的云排他协议。 这个动作使得OpenAI模型可以在所有云提供商上使用。
称 Sid Nag, Tekonyx的创始人和分析家。 “这是OpenAI的另一款。”
Google Cloud. 在其环境中，不必仅仅因为想要OpenAI模型而作出放弃Google的决定。 称 David Nicholson是Futurum集团的分析师。
对OpenAI来说，将其模型放在Google Cloud上加强了其企业战略。 在过去的一年里，ChatGPT的创造者 -- -- 首先是消费者AI模型的销售者 -- -- 一直试图从吸引消费者转向企业客户。
尼科尔森称。 “他们不知道如何让企业客户参与。
模式提供者He 称自与AWS合作后发生了变化，现在似乎更有能力与企业客户合作。
OpenAI成功的关键在于他们开始用GCP[Google 云平台]处理AWS
对Google来说，与OpenAI的伙伴关系也很重要，因为它可以支持那些偏爱其基础设施但决定某些OpenAI模型为某种工作流程或应用工作的企业。
“这只会加强Google保留AI支出的能力
最终，这项交易表明，对于企业来说，重要的是有他们创建定制AI应用程序所需的选择权，无论AI模型供应商或云基础设施如何。
“企业不是为AI而购买AI
他补充说，如果一个企业处于某个没有它想要的模型的云层基础设施上，那么它现在就需要想出如何使用这个模型，同时保持它习惯的云层提供者。
“没有人想自己去做这些事情，因为把这些事情缝合起来不是为心虚的人着想的。”
然而，更多的选择也可能使企业不确定使用哪种模式。
“如果你的基础设施堆积的每一个部分，你都必须在五个选项中做出选择，“但大多数企业客户宁可作出这种选择。”
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OpenAI now has its models on all three major cloud provider platforms, as it refines its enterprise strategy.
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With the frontier AI provider's decision to make its models available on Google Cloud, a new phase of the AI race is shaping up to be about catering to enterprises that require greater model choice on their chosen cloud infrastructure.
OpenAI and Google Cloud revealed on Wednesday that OpenAI’s models and Codex agentic workflows will now be available on Google Model Garden.
The Model Garden is a catalog of AI models inside the Google Cloud AI platform, which is part of the Gemini Enterprise Agent platform, formerly known as Vertex AI. OpenAI said its models will soon also be available in Google Antigravity, a platform that lets AI agents write, run, test and orchestrate code. It will also be coming to Gemini Agent soon.
Enterprise customers already on Google Cloud infrastructure will get access to OpenAI’s models in the environment they already use. The move enables enterprises to pair OpenAI’s models with Google Cloud’s built-in access controls, data governance and infrastructure.
The availability of OpenAI’s models on Google comes after OpenAI ended its cloud exclusivity agreement with Google’s rival Microsoft and OpenAI debuted its models on AWS in April. This move makes OpenAI models available on all cloud providers.
“All these model providers are essentially trying to figure out how to increase their proliferation on multiple infrastructure estates,” said Sid Nag, founder and analyst at Tekonyx. “This is yet another one for OpenAI.”
“This just makes it easier for anyone who wants to consume OpenAI models but also has a largely Google Cloud … framework in their environment to not have to make that decision to move away from Google just because they want an OpenAI model,” said David Nicholson, an analyst at Futurum Group.
For OpenAI, putting its models on Google Cloud strengthens its enterprise strategy. Over the last year, the ChatGPT creator -- which started out mainly as a vendor of consumer AI models -- has been trying to move from appealing to consumers toward enterprise clients.
“It’s something they didn’t do early on,” Nicholson said. “They didn’t understand how to engage enterprise clients.”
He said the model provider has changed since partnering with AWS and now seems better able to engage with enterprise customers.
“The key to OpenAI's success is that they replicate what they’ve started to do with AWS with GCP [Google Cloud Platform],” Nicholson continued.
For Google’s part, the partnership with OpenAI is also important because it can support enterprises that prefer its infrastructure but decide certain OpenAI models work for a certain workflow or application.
“This just strengthens Google’s ability to retain the AI spending, regardless of which model customers select,” Nag said.
Ultimately, the deal suggests that, for enterprises, what matters is having the options they need to create custom AI applications, regardless of the AI model vendor orcloud infrastructure..
“Enterprises are not buying AI for AI sake, they’re not buying infrastructure for infrastructure's sake,” Nag said.
He added that if an enterprise is on a certain cloud infrastructure that doesn’t have the model it wants, it will now need to figure out how to use that model while remaining on with the cloud provider it is accustomed to.
“Nobody wants to go and do these things on their own, because stitching these things together is not for the faint of heart,” Nag said.
However, more choices could also leave enterprises unsure which model to use.
“If for every part of your infrastructure stack, you’re having to make a choice between five options, and it can get confusing,” Nicholson said. “But most enterprise customers would rather have that choice than not.”
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