Scaling AI Profitably: FinOps and Efficiency Engineering for Large Language Models: Mastering the Token Economy, from Prompt Optimization to Specialized Hardware Deployment (Volume-I)

THE TOKEN BILL CRISIS IS REAL. AND IT'S DESTROYING YOUR MARGINS.Large language model inference costs are spiraling—and most organizations are helpless.Startups face bankruptcy. Enterprises watch gross margins compress. Even well-funded AIcompanies are shutting down "unlimited usage" products.But there's a solution."Scaling AI Profitably" is the first comprehensive textbook on AI FinOps—the financialoperations discipline that transforms AI from a cost center into a profitable operation.Written for technical leaders, ML engineers, and CTOs, this 30-chapter guide covers:✅ The token bill crisis: How it emerges and why traditional cost management fails✅ The FinOps framework: Real cost tracking, attribution, and control systems✅ Optimization playbooks: 60-80% cost reductions through intelligent routing, fine-tuning, quantization, and hardware choices✅ Financial modeling: Unit economics, break-even analysis, and margin protection✅ Real-world case studies: Proven implementations from e-commerce to healthcare✅ Decision frameworks: Build vs. buy, model selection, and infrastructure choicesThis is the definitive reference on AI inference economics. The toolkit your team needs.Stop hemorrhaging money on token bills. Start scaling AI profitably. Read more