Components of a Scalable AI Cloud Stack
- API Gateway & Load Balancers: Distribute high traffic smoothly across regional nodes.
- GPU Auto-Scaling Clusters (AWS us-east-1 / RunPod): Dynamically scale GPU instances during high demand and scale down during off-peak hours.
- Redis Caching Layer: Store frequent prompt embeddings in RAM to cut LLM API costs by up to 40%.
- Infrastructure as Code (IaC): Reproducible deployments via Terraform and Docker Compose.
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