Meteron AI
Streamline LLM management and AI app scaling
Target Audience
- AI Developers
- SaaS Startups
- Cloud Engineers
Hashtags
Social Media
Overview
Meteron AI helps developers manage the backend complexities of AI applications. It handles metering, load-balancing, and storage so teams can focus on building AI products. The platform works with any AI model and integrates with major cloud providers.
Key Features
Metering
Track usage per user/request for flexible billing
Elastic scaling
Auto-balance workloads across servers dynamically
Unlimited Storage
Cloud-based storage for generated AI assets
Multi-model support
Works with text/image models like Llama & Stable Diffusion
Load Balancing
Queue management with priority tiers for users
Use Cases
Build AI-powered applications
Enforce per-user usage limits
Scale AI services dynamically
Manage cloud storage for AI assets
Pros & Cons
Pros
- Specialized AI infrastructure management
- Multi-cloud storage support
- Low-code integration approach
- Priority-based request handling
Cons
- Requires basic HTTP/API knowledge
- Advanced features still in development
Pricing Plans
Free
monthlyFeatures
- 5GB storage
- Basic server concurrency
- Cloud storage integration
Professional
monthlyFeatures
- 300GB storage
- Intelligent QoS
- Custom cloud storage
Business
monthlyFeatures
- 2TB storage
- 30 team members
- Data export capabilities
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
Do I need special libraries to integrate Meteron?
No - use any HTTP client like curl or Python requests
How does queue prioritization work?
Three tiers: high (VIP), medium (paid), low (free users)
Can I self-host Meteron?
Yes, on-prem licenses available via contact request
Integrations
Reviews for Meteron AI
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