Enterprise Scale AI Costs
Running AI at enterprise scale? Discover when to use managed services vs. self-hosted infrastructure for millions of daily requests.
Choose Your Enterprise Strategy
Up to 1M Daily Requests: Managed Models
For enterprises processing under 1M daily requests, managed cloud services offer the best balance of cost, reliability, and simplicity.
✅ Recommended
- • AWS Bedrock - Enterprise features
- • Azure OpenAI - Enterprise compliance
- • Google Vertex AI - Auto-scaling
💰 Estimated Cost
- • 100K requests: $3-5K/month
- • 500K requests: $15-25K/month
- • 1M requests: $30-50K/month
1M+ Daily Requests: Consider Self-Hosted
At ultra-high volumes, self-hosted GPU infrastructure becomes cost-competitive and offers maximum control and customization.
🎯 Sweet Spot
- • Break-even: ~2M requests/day
- • ROI: 30-50% savings vs SaaS
- • Custom models: Full control
⚠️ Requirements
- • Dedicated ML/DevOps team
- • 6-month minimum commitment
- • $100K+ monthly budget
Enterprise Cost Analysis (1M Daily Requests)
Managed Models
Self-Hosted GPU
Hybrid Approach
Implementation Timeline
Weeks 1-2: Start with Managed Models
Deploy on AWS Bedrock or Azure OpenAI to handle immediate needs while evaluating long-term strategy.
Months 1-3: Plan Self-Hosted Infrastructure
If volume justifies it, begin planning GPU infrastructure, hiring ML engineers, and setting up CI/CD.
Months 3-6: Gradual Migration
Implement hybrid approach, gradually shifting traffic to self-hosted while maintaining managed fallback.
Enterprise Decision Factors
Choose Managed Models If:
- ✓ Under 1M daily requests
- ✓ Need fast deployment (weeks)
- ✓ Limited ML engineering team
- ✓ Compliance requirements (SOC2, HIPAA)
- ✓ Variable/unpredictable traffic
Choose Self-Hosted If:
- ✓ 2M+ daily requests consistently
- ✓ Need custom model fine-tuning
- ✓ Strong ML/DevOps team
- ✓ Data sovereignty requirements
- ✓ Predictable, steady traffic
Calculate Your Enterprise AI Costs
Get precise cost projections for your enterprise volume and requirements.