Building Sustainable Local AI: Cost Control and Resource Management

Local LLM deployment offers privacy benefits, but introduces often-overlooked operational costs in compute, memory, and electricity. Understanding token throughput, VRAM constraints, and resource bottlenecks becomes critical for production-grade applications. Implementing cost tracking and rate limiting transforms local AI from a resource-hungry prototype into a sustainable, scalable solution.