Retrieval
3 articles
Articles
28 September 2026
RAG Pipeline GPU Sizing: Cost Per Query, End to End
Estimating the cost of a RAG pipeline requires decoupling the compute economics of embedding, vector search, and LLM generation. Transitioning from retail API markups to dedicated GPU infrastructure fundamentally lowers the cost per query when scaled for batch concurrency.
7 June 2026
GPU Vector Database Cloud Integration: Architecture Guide
Vector databases are hitting the billion-vector scale, and CPU-bound indexing is choking under the load. Moving vector search to GPUs cuts index build times by up to 17x, but deploying this infrastructure requires strict attention to data sovereignty and cost control.
5 June 2026
RAG Pipeline GPU Infrastructure: The Engineering Guide
You built a RAG pipeline. It retrieves 20 chunks, sends 32,000 tokens to the LLM, and your GPU throws an Out of Memory (OOM) error. Memory management in RAG is not a software problem. It is a hardware budget.