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Ray Serve User Survey!
We need your feedback! We are constantly trying to better understand how and why people use Ray Serve so we can improve the library and make sure we are prioritizing the right things.

Please also join us in the #serve channel of the Ray Slack: https://forms.gle/9TSdDYUgxYs8SA9e8
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Email Address! *
What organization do you work for (company, university)? *
Which best describes your current serving stack? *
What is the most important serving framework feature for you?
What model serving options have you looked at/considered?
What cloud(s) are you running on?
What stage are you in with Ray Serve? *
Anyscale is currently working on building a managed Ray Serve solution to handle the operational burden of going to production. Are you interested in learning more?
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Would you be interested in a hands-on tutorial showing how to deploy Ray Serve as managed Service?
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