Beyond PoC to Production: An Architecture Guide to Taming Cost Explosions and Latency When Deploying LLM Agents
After a successful LLM PoC, the wall teams hit most often is operations. This guide offers practical, architecture-level ways to address every operational risk you face in real deployment—from exploding costs to slow response times.
AI Service Optimization Stack Design Guide: Building Cloud Architecture That Delivers Both Cost Efficiency and Reliability
This guide presents a practical cloud architecture approach for handling rapidly growing AI workloads. Combining performance and cost-efficiency analysis, it provides a Terraform-based stack and monitoring strategy you can apply immediately
Cloud Cost Optimization Strategies: 10 Practical Savings Techniques
Flexera research finds that enterprises waste an average of 32% of cloud spend. At ₩10 million per month, that can mean ₩3 million going to waste.
LLM Performance Series Part 3: Reducing Costs with Routing, Fallbacks, and Ensembles
Using GPT-4 for every query is wasteful—the same model for “What’s the weather?” and complex contract analysis is inefficient. LLM routing and ensembles can cut costs 30–70% while holding accuracy.
LLM Model Selection Guide: Finding the Optimal Model by Cost vs. Performance
A practitioner-focused comparison of cost, performance, and speed across major LLMs including GPT-4o, Claude Sonnet, and Gemini. Covers task-specific selection criteria and routing strategies that cut costs while keeping quality intact.