Tag: cloud run

Why a $1.05 Cloud Run L4 hour can be cheaper or more expensive than hosted inference depending on utilization, throughput, fallback rate, and accepted business outcomes.

A production-oriented Cloud Run and vLLM design that keeps GPT-OSS private, separates routing from inference, and makes model loading, readiness, concurrency, and rollback explicit.

Why adding a private open model beside hosted APIs fails unless routing, fallback, evaluation, and authority are designed as one production contract.

When a SaaS product should graduate from a flexible Python-first backend into Go, gRPC, Cloud Run, and Google Cloud service boundaries.

A practical guide to running MCP servers locally, choosing affordable clients, and deploying private open models with Cloud Run, Ollama, and Open WebUI.

A practical deployment guide for running Ollama behind Open WebUI on Cloud Run GPUs without mixing service specs, model storage modes, sidecar startup order, or auth assumptions.