Model Serving now supports Kimi K3 as a Databricks hosted model.
Model Serving now supports Kimi K3 as a Databricks hosted model. This 2.8 trillion parameter mixture of experts (MoE) model has native vision capabilities, supports a 1 million token context window, and is designed for long horizon coding, knowledge work, and reasoning. You can access this model using Foundation Model APIs.
For production workloads, Databricks recommends priority pay per token, also referred to as priority mode, for latency sensitive workloads that need more consistent performance under load.
Model Serving now supports Kimi K3 as a Databricks hosted model. This 2.8 trillion parameter mixture of experts (MoE) model has native vision capabilities, supports a 1 million token context window, and is designed for long horizon coding, knowledge work…
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