AI
An August 2026 snapshot for .NET developers comparing local Ollama, Ollama Cloud, and managed inference by limits, model choice, agent support, and measurable performance.
AI
An experimental case study of running Qwen3.8 Flash-Next on dual RTX 3060 GPUs and dual-socket Xeon hardware using Proxmox, NUMA interleaving, and an experimental llama.cpp build.
AI
An empirical case study of a dual-GPU Linux workstation for local coding assistance with Qwen3.8-27B, GGUF quantization, llama.cpp tuning, speculative decoding, and long-context benchmarks.
AI
Unify Azure AI Foundry, Ollama, LM Studio, and 100+ AI providers behind a single API with LiteLLM. Learn to deploy it locally with Docker Compose and PostgreSQL.
Development
Stop hallucinations and ground your AI in your own data. Build a 'Troubleshooting Bot' using Retrieval Augmented Generation (RAG) and Kernel Memory.
Development
Cut cloud costs and improve privacy by running LLMs locally with Ollama and .NET. Learn how to build a local Log Analyzer.
Development
Give your AI agents real-world powers by building custom Semantic Kernel Plugins for system administration.
AI
Explore a hybrid AI architecture in .NET that uses local ONNX models for speed and privacy, while leveraging powerful cloud-based LLMs for complex reasoning.
DevOps
A step-by-step guide to containerizing a .NET application with an embedded ONNX model for cross-platform, isolated, and scalable deployments.
AI
An in-depth comparison of Microsoft's Semantic Kernel and the popular LangChain framework, tailored for .NET developers building AI-powered applications.