Cerebrium
Build and deploy AI applications in minutes instead of months
Target Audience
- AI/ML engineers
- DevOps teams
- Startup technical founders
- Enterprise AI teams
Hashtags
Overview
Cerebrium is a serverless platform that helps teams quickly deploy AI applications without infrastructure headaches. It handles complex backend operations like GPU management and autoscaling so developers can focus on building. The platform offers cost tracking and compliance certifications to simplify production-ready AI deployment.
Key Features
Cold starts
Optimized cold starts for inference in seconds
Realtime logging
Instant debugging with live deployment monitoring
Cost tracking
Transparent spend management without complex reports
GPU variety
Multiple cloud provider hardware options available
Autoscaling
Automatic scaling for traffic spikes and reliability
Use Cases
Deploy machine learning models
Monitor AI application performance
Track cloud compute costs
Handle viral app scaling
Pros & Cons
Pros
- Enterprise-grade reliability (99.999% uptime)
- SOC 2 & HIPAA compliance ready
- Pay-as-you-go pricing model
- Multi-cloud GPU access
Cons
- Requires technical AI/ML knowledge
- Pricing uncertainty with usage-based model
- No visible low-code interface for beginners
Frequently Asked Questions
How does pricing work?
Pay only for what you use with per-request costs based on compute resources
What compliance certifications are available?
SOC 2 and HIPAA compliance for regulated industries
How fast are deployments?
Average build times under 11 seconds with cold starts optimized for quick inference
Reviews for Cerebrium
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