Meta takes its AI models to Google Cloud, adds three models to Model Garden

Meta’s AI models are now available on Google Cloud, putting the company’s latest offerings within reach of developers and businesses using Google’s cloud platform. The announcement also drew a public welcome from Google CEO Sundar Pichai, who said the company was excited to serve customers using the models.

Meta CEO Mark Zuckerberg announced the development in a post on X, saying that Muse Ember, Muse Spark 1.3 and Muse Wonder were now available on Google Cloud. “Muse Ember, Muse Spark 1.3, and Muse Wonder are now available on Google Cloud,” Zuckerberg wrote.

Pichai responded to the post, welcoming the models to Google’s Model Garden. “Congrats and welcome to the model garden, excited to serve our Google Cloud customers!” he wrote.

The three models are available through Google Cloud’s Model Garden, which gives developers access to AI models from different providers. They can be accessed through managed application programming interfaces (APIs), allowing businesses to integrate them into their applications without having to host the models themselves.

Why the Google Cloud integration matters

The move is interesting because Google and Meta are also competing against each other in the AI race. Google has been developing its Gemini models, while Meta has been building out its own AI portfolio.

However, the latest development shows that competition in AI does not necessarily prevent companies from working with each other on infrastructure. Google Cloud can make its platform available to customers who want to use models developed by other companies, rather than restricting them to Google’s own offerings.

For businesses, having different models available on the same cloud platform can make it easier to evaluate options before settling on one. The choice of model can depend on the task, performance requirements, and cost.

Google’s Model Garden already serves as a marketplace for models that customers can access through its cloud infrastructure. Meta’s latest additions expand that choice.

The arrangement also gives Meta another route to reach enterprise developers, beyond its own platforms. For Google, it adds to the range of AI models available to customers on Google Cloud. As businesses increasingly look to deploy AI beyond pilot projects, access to multiple models and the infrastructure to run them is becoming an important part of the cloud business.