M

Meteron AI

4.5
💬129
💲Freemium

Meteron AI is a backend platform that simplifies the process of building AI products by managing infrastructure, metering, load balancing, and storage automatically. It supports various AI models and cloud providers, allowing developers to focus on creating AI applications efficiently.

💻
Platform
web
AI platformAPIAutoscalingBackend platformElastic scalingGenerative AIImage generation

What is Meteron AI?

Meteron AI is a backend platform designed to help users build AI products seamlessly. It simplifies infrastructure autoscaling and storage complexities, handling LLM and generative AI metering, load-balancing, and storage. Meteron allows developers to focus on building better models and getting more traffic without needing to be an AI platform expert.

Core Technologies

  • Metering (per request or per token)
  • Elastic scaling
  • Cloud Storage
  • Load balancing
  • API Integration
  • Low-code service
  • Per-user metering
  • Credit system
  • Intelligent QoS
  • Automatic Load Balancing

Key Capabilities

  • Simplified AI infrastructure management
  • Metering and billing capabilities
  • Elastic scaling and load balancing
  • Support for various AI models and cloud providers
  • Per-user metering with credit system
  • Data export and performance tracking

Use Cases

  • Building AI applications that generate and display image galleries using Stable Diffusion XL
  • Creating multi-tenant applications where users can generate images of their rooms using Controlnet AI
  • Managing image generation requests with per-user limits and charging based on requests or tokens

Core Benefits

  • Simplifies AI infrastructure management
  • Provides built-in metering and billing capabilities
  • Offers elastic scaling and load balancing
  • Supports multiple AI models and cloud providers
  • Enables per-user metering and credit systems
  • Includes performance tracking and data export

Key Features

  • Metering (per request or per token)
  • Elastic scaling (queueing and load-balancing)
  • Unlimited storage (supports major cloud providers)
  • Support for any model (text, image, Llama, Mistral, Stable Diffusion, etc.)
  • Per-user metering
  • Credit system
  • Elastic queue
  • Server concurrency control
  • Intelligent QoS
  • Cloud Storage
  • Performance Tracking
  • Automatic Load Balancing
  • Data Export

How to Use

  1. 1
    Integrate your AI models and applications with Meteron's API.
  2. 2
    Meteron handles metering, load balancing, and storage automatically.
  3. 3
    Manage servers through the web UI or dynamic API.
  4. 4
    Use examples and join the Discord server for support.

Pricing Plans

Free

$0 / mo
Usage: Admins & Members (coming soon), File Storage 5GB, Image Generations 1500, LLM chat completions 10 000, Features: 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 (coming soon), Custom Cloud Storage (your own S3, GCS, Azure Storage, etc.) (coming soon), Data Export (coming soon)

Professional

$39 / mo
Usage: Admins & Members 5, File Storage 300GB, Image Generations 10 000, LLM chat completions 50 000, Features: 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

Business

$199 / mo
Usage: Admins & Members 30, File Storage 2TB, Image Generations 100 000, LLM chat completions 800 000, Features: 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

Frequently Asked Questions

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

A.No, 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.

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.

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.

Pros & Cons (Reserved)

✓ Pros

  • Simplifies AI infrastructure management
  • Provides metering and billing capabilities
  • Offers elastic scaling and load balancing
  • Supports various AI models and cloud providers
  • Low-code service with helpful examples and community support

✗ Cons

  • Requires some coding knowledge (HTTP)
  • On-prem licenses require contacting for more info
  • Some features are listed as 'coming soon'

Alternatives

No alternatives found.