Meta is putting three of its Muse AI models on rival Google's cloud, letting businesses run Muse Ember, Muse Wonder and Muse Spark 1.3 inside Google Cloud on the same day it launched Ember.
Key Takeaways
- Muse Wonder, Muse Spark 1.3 and Muse Ember are now publicly available on Google Cloud
- Google says companies can deploy them through its model garden with enterprise-grade security and serverless scale
- Muse Ember, launched Monday, is Meta's smallest and most efficient model, built for everyday agent work
- Ember can read 1 million tokens at once and understands text, images, audio and video
Meta's AI team announced the move on X on Monday night, and Google Cloud confirmed an hour later that all three models are publicly available.
Why Rivals Are Sharing Shelf Space
Google makes its own Gemini models, but its cloud also rents out AI from other companies through a catalog it calls the model garden. Serverless means customers do not have to set up or manage their own servers to run the models, they simply pay to use them.
For Meta, the deal puts Muse in front of the many big companies that already keep their data and apps on Google Cloud, without asking them to switch providers.
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What Muse Ember Does
Meta says Ember can carry tasks across apps, call tools one after another, run tests and make targeted fixes to code. Its 1 million token memory lets it work across large sets of documents and mixed inputs like images, audio and video.
Neither company shared pricing for the models on Google Cloud, so the next thing to watch is how Muse is priced against Google's own Gemini models on the same platform.
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Originally published on Fathom News.
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