self-hosted-llm

Running large language models on your own infrastructure instead of calling external APIs. Coverage here spans model selection for specific workloads, quantization and hardware requirements, inference engines, and the trade-offs between specialized open-weight models and frontier systems. Expect practical guidance on what it takes to deploy, optimize, and operate capable models locally without sending data to a third party.