Together AI Partners with Moonshot AI to Host Kimi Models
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- together.ai
- Date
Context
Together AI's partnership announcement says its platform becomes a launch platform for models from Moonshot AI, starting with Kimi K3. Together says later Moonshot releases will appear in the same model library behind the same API, giving developers a continuing integration path as the lineup changes.
The partnership also connects customization with serving. Together describes developers Kimi models on their own data and deploying the resulting checkpoint directly to its platform, with no separate handoff between training and serving. The concrete benefit is continuity between adapting a model and running it in an application. Future-release availability is a stated partnership commitment, and the announcement is the companies' own account. Training and deployment details.
- open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
- fine-tuning — Taking a trained model and training it a bit more on your own examples so it gets better at one specific job.
- inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
- mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
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