DeepSeek V4.1 Flash available on Databricks Unity Gateway
The DeepSeek V4.1 Flash (1017) model is now available on Databricks Unity Gateway with text and image input support.
O que mudou
The DeepSeek V4.1 Flash (1017) model is now integrated into Unity Gateway, allowing text and image inputs through Foundation Model APIs. ### Use cases Imagine you need to process multimodal data with an advanced model directly in your workspace. With this addition, you can:- Query DeepSeek V4.1 Flash via pay-per-token.- Send mixed text and image inputs to the model.- Integrate the model into AI pipelines using Unity Gateway endpoints. ### How to use You can access the model using its Unity Gateway service name in your requests or workspace endpoints. pythonimport mlflowfrom databricks.sdk import WorkspaceClientw = WorkspaceClient()response = w.serving_endpoints.query( name="system.ai.deepseek-v4-1-flash", messages=[ { "role": "user", "content": "Describe this image and analyze the text." } ])print(response) What happens in this code:1. Imports the Databricks SDK client.2. Initializes the workspace client.3. Queries the serving endpoint using the model's Unity Gateway service name.4. Prints the generated response from the model. ### Limitations and requirements Customers are responsible for ensuring compliance with the applicable provider terms of use. Model availability depends on your workspace region.
- unity gateway
- foundation model apis
- deepseek
- model serving
DeepSeek V4.1 Flash (1017) is now available on Unity Gateway
Resumo e explicação gerados por IA a partir da release note oficial. Em caso de dúvida, a documentação oficial da plataforma prevalece.
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