AI
Local AI Hardware Sizing: CPU, NPU, GPU, RAM, and VRAM
A local AI hardware sizing guide explaining model memory, quantization, KV cache, CPU-only use, NPUs, GPUs, RAM, VRAM, and upgrade tiers.
Home AI Hardware Levels: A Beginner's Guide to the PC You Need
A plain-English guide to choosing hardware for a home AI setup, from using an old PC to building a serious GPU workstation.
Local AI Models Explained: Gemma, Llama, Qwen, Nemotron, Phi, DeepSeek, and More
A noob-friendly guide to local AI model families, model size, VRAM, quantization, RAG, coding models, vision models, and how to choose what to run at home.
Try Local AI Before You Buy Hardware: A Beginner Gemma and Ollama Guide
A noob-friendly, step-by-step guide to trying Google's Gemma AI models on your current PC with Ollama before spending money on new hardware.
Run Google Gemma Locally with Ollama, Open WebUI, and Codex CLI
Run Google Gemma locally with Ollama and Open WebUI, then connect Codex CLI for private coding workflows. Includes Docker setup, GPU sizing, Tdarr notes, and security guidance.
Local AI Homelab: Hardware for Ollama, Open WebUI, and Small Agents
A practical local AI homelab hardware guide for Ollama, Open WebUI, GPUs, CPU-only experiments, VRAM sizing, and safe small agents.
NVIDIA vs Intel Arc for Ollama and Local AI Workloads
Check exact NVIDIA and Intel Arc support, memory fit, drivers, and GPU placement before buying hardware for Ollama, llama.cpp, or LM Studio.
Cisco Catalyst C9550 vs C9350: Choose the Right Campus Role
Map C9350 access requirements and an incumbent C9500 design to a C9550 model, then verify software, optics, licensing, failure tests, and rollback before migration.
Branch Network Design for the AI Era
AI-era branch design needs SD-WAN, SSE, secure access, local resilience, application steering, Wi-Fi capacity, segmentation, and experience telemetry.









