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Using model serving from databricks privacy issue

gmu77113355
New Contributor II

When using Databrick's model serving to query Llama3, I noticed the endpoint URL is my databricks instance. Does that still mean data is sent to databricks process by databricks?  
If so, does databricks keep/use any of the data sent to model serving end point?

2 REPLIES 2

Kaniz_Fatma
Community Manager
Community Manager

Hi @gmu77113355When using Databricks' model serving to query Llama 3, the data is processed by Databricks, as the endpoint URL is your Databricks instance.

However, Databricks has implemented several security measures to protect customer data privacy: Databricks logically isolates each customer's requests, encrypts all data at rest and in transit, and does not use any customer inputs or outputs submitted to Model Serving to train its own models or improve its services for paid accounts. For Databricks Foundation Model APIs, the company may temporarily process and store inputs and outputs, but this is strictly limited to preventing, detecting, and mitigating abuse or harmful uses, with the data isolated, stored regionally, and deleted after 30 days. 

gmu77113355
New Contributor II

Related question, when databricks process requests for foundational model, I noticed the latency is pretty small, wondering what kind of processing power is used on databricks side? I am interested in hosting model ourselves so wondering what type of processing power does databricks use.

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