Scaling Strategies for High-Traffic AI Applications
Scaling Strategies for High-Traffic AI Applications
As user traffic increases, AI systems must scale efficiently.
1) Horizontal Scaling
- Multiple API replicas
- Load balancing
- Auto-scaling policies
2) Vertical Scaling
- More powerful GPUs
- Memory upgrades
3) Cost-Performance Balance
Scaling must align with budget and performance targets.
4) Enterprise Insight
Monitoring usage patterns helps predict scaling needs.
5) Summary
Scaling strategy ensures reliability under growing demand.
