Building a Local AI Server
Complete guide to building a local AI server including hardware selection, software stack, Docker deployment, and API integration.
/ai
Local LLMs, AI tooling and applied machine learning.
10 articles published
Complete guide to building a local AI server including hardware selection, software stack, Docker deployment, and API integration.
Complete guide to building private AI infrastructure including hardware, software, model serving, security, and production deployment.
Complete guide to deploying DeepSeek Coder and Qwen LLMs locally including Ollama setup, vLLM serving, API integration, and coding assistant workflows.
Complete guide to GPU passthrough for virtualized AI workloads including VFIO, SR-IOV, KVM, and Proxmox configuration.
Complete guide to installing and configuring Ollama on Linux for running local LLMs including model management, API usage, and production deployment.
Complete guide to Retrieval-Augmented Generation (RAG) architecture including vector databases, embedding models, document chunking, and production deployment patterns.
Complete guide to running AI models in Docker containers including Ollama, vLLM, TensorFlow Serving, and production deployment.
Complete guide to running local AI models on Windows and Ubuntu including Ollama, LM Studio, Docker, and GPU configuration.
Complete guide to CPU, GPU and NPU hardware for AI workloads including architecture, performance comparison, and selection guide.
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