Question 1

Do I need to use any special libraries when integrating Meteron?

Accepted Answer

Nope, you can use your favorite HTTP client such as curl, Python requests, JavaScript fetch libraries. Instead of sending request to your inference endpoint you will send it to the Meteron's generation API. This API can be either blocking or non blocking, returning the reference to the generated image.

Question 2

How do I tell Meteron where my servers are?

Accepted Answer

You can do it through the web UI if your servers are static or rarely change. However, we also provide a simple API that you can use to update your servers dynamically. This API can be used to update your servers in real time, for example, when you are using a AI platforms such as lightning.ai, runpod.io, etc.

Question 3

How does the queue prioritization work?

Accepted Answer

By default Meteron provides several standard business rules. With each request you can specify priority class (high, medium, low) where high are your VIP users and will not incur any queueing delays. Medium priority class users will incur delays but will always be ahead of low priority users. Low priority requests will be served last, these can be your 'free' users that are served when there is no load on the system.

Question 4

Do I need coding knowledge to use this product?

Accepted Answer

Meteron is a 'low-code' service where some knowledge about HTTP is needed. However, we do provide example on how to integrate Meteron. If you do get stuck, join our Discord server and we will be happy to help out.

Question 5

Can I host Meteron server myself?

Accepted Answer

Yes, on-prem licenses are available. You will get a batteries included system that you can run on any cloud provider. Contact us for more info at hey@meteron.ai.

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