Semantic Caching: The Missing Layer in Your RAG Architecture
Why hitting the model API for every query is burning your budget and slowing down your users.
Blog · Topic
Inference & Cost
Serving models without surprise bills: scaling inference, cold starts, caching, GPU pricing and token costs.
5 posts
Scaling Inference: From POC to Production
Why your proof of concept's inference architecture breaks down at scale and how to fix it.
The Cold Start Nobody Warned You About
Scale-to-zero sounds great until your first real user hits a frozen model and bounces. ML inference cold starts aren't a footnote — they're a product decision.
The A100 Surplus Hiding in Plain Sight
As of May 2026, RunPod charged $3.29/hr for an A100 SXM; Vast.ai listed one for $0.44. That 7.5× gap isn't a pricing glitch — it's a market signal.
The Cost Spike You Didn't See Coming
Nobody models LLM costs seriously until they get the bill. By then, the architecture is already wrong.