Why Your System Prompt Costs $50K/Month
A 2,000 token system prompt processed 10 million times a month. Without caching, you're paying to process the same tokens over and over.
Blog
Deep dives into LLM inference optimization. Practical insights for developers and founders building with AI.
Why Doubling Context Quadruples Your Problems
Double your context window, quadruple your compute. The O(n²) attention cost catches teams off guard when they scale.
Why Output Tokens Cost 4x More Than Input
Input tokens are cheap. Output tokens are expensive. The physics of transformer inference explains why, and what you can do about it.
Why Streaming Breaks and How to Fix It
Your code says streaming enabled. Your monitoring shows 0% actual streams. The bytes are getting collected somewhere between your model and the user's screen.
Four Metrics That Actually Matter for LLM Inference
Your monitoring dashboard shows 180ms average latency. Your users say the app is slow. Both are telling the truth. The disconnect is what you're measuring.