Meteron AI
Build your AI app in hours, not weeks.
Meteron AI is an all-in-one AI toolset that helps developers build AI-powered products faster and easier. It provides a simple, yet powerful metering mechanism, elastic scaling, unlimited storage, and works with any model. With Meteron, developers can focus on building AI products instead of worrying about the underlying infrastructure.
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Features
- Metering
- Elastic scaling
- Unlimited storage
- Works with any model
- Per user metering
- Credit system
- Elastic queue (absorb high demand spikes)
- Server concurrency control
- Intelligent QoS
- Cloud Storage
- Performance Tracking
- Automatic Load Balancing
- Automatic Retries
- Custom Cloud Storage (your own S3, GCS, Azure Storage, etc.)
- Data Export
Advantages
- Frees developers from time-consuming, unnecessary processes
- Allows developers to focus on building AI-powered products
- Provides a simple, yet powerful metering mechanism
- Can elastically scale to meet demand
- Offers unlimited storage
- Works with any model
- Provides a per user metering system
- Has a credit system for managing usage
- Has an elastic queue to absorb high demand spikes
- Has server concurrency control to manage load
- Has intelligent QoS to prioritize requests
- Has cloud storage for storing images
- Has performance tracking to monitor usage
- Has automatic load balancing to distribute load across servers
- Has automatic retries to ensure reliability
- Allows custom cloud storage
- Allows data export
Disadvantages
- May require some coding knowledge to use
- May not be suitable for all AI applications
- May not be the most cost-effective solution for all users
Frequently Asked Questions
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Q:Do I need to use any special libraries when integrating Meteron?
A: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. -
Q:How do I tell Meteron where my servers are?
A: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. -
Q:How does the queue prioritization work?
A: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. -
Q:Do I need coding knowledge to use this product?
A: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. -
Q:Can I host Meteron server myself?
A: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 [email protected]. -
Q:What forms of payment do you accept?
A:We accept all major credit cards as well as direct wire transfers. -
Q:How does per-user metering work?
A:When adding model endpoints in Meteron (clusters) you can specify daily and monthly limits. WHen these limits are specified, each time you send an image generation request, add the X-User header with the user ID (or email) and we will ensure that this user cannot go above limits.
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