Learn
In-depth guides covering everything about local AI. From hardware selection to advanced workflows, master every aspect of running AI on your own hardware.
Core Guides
Read Complete Guide to Running AI Locally
Getting Started20 min read
Complete Guide to Running AI Locally
Everything you need to run AI on your own hardware. Hardware, software, models, and troubleshooting.
Read LLM Hardware Guide
Hardware25 min read
LLM Hardware Guide
Build the perfect PC for running language models. GPU selection, RAM requirements, and builds.
Read AI Image Generation Guide
Software22 min read
AI Image Generation Guide
Master Stable Diffusion, SDXL, and Flux. Complete guide to local image generation.
Read Building an AI Workstation
Hardware20 min read
Building an AI Workstation
Complete guide to building your ultimate local AI machine.
Read Complete Quantization Guide for LLMs
Getting Started18 min read
Complete Quantization Guide for LLMs
Understand quantization levels (Q4, Q8, FP16), VRAM requirements, and how quantization affects model quality.
Read Apple Silicon Guide for Local AI
Hardware20 min read
Apple Silicon Guide for Local AI
Run LLMs on your Mac with M4 Max, M3 Max, and M2 Ultra. MLX, unified memory, and performance benchmarks.
Read How to Run 70B Models Locally
Hardware17 min read
How to Run 70B Models Locally
A tactical playbook for 70B-class local models covering VRAM constraints, quantization, and scaling choices.
More Guides
Read Gaming GPU Guide 2025
Gaming18 min
Gaming GPU Guide 2025
Find the perfect graphics card for your resolution and budget.
Read Complete Fine-Tuning Guide for LLMs
Software25 min
Complete Fine-Tuning Guide for LLMs
Learn to fine-tune models locally. LoRA, QLoRA, dataset preparation, and training best practices.
Read RAG and Embeddings Guide
Software22 min
RAG and Embeddings Guide
Build local RAG pipelines with Chroma, FAISS, and local embedding models for document Q&A.
Read RTX 50 Series Review and Guide
Hardware18 min
RTX 50 Series Review and Guide
RTX 5090, 5080, 5070 Ti, and 5070 analyzed for AI workloads. VRAM, performance, and value compared to 40 series.
Read AMD RX 9070 Series Guide
Hardware15 min
AMD RX 9070 Series Guide
RX 9070 XT and 9070 for local AI. ROCm compatibility, VRAM analysis, and how AMD compares to NVIDIA.
Read Llama 3 Local Deployment Guide
Software16 min
Llama 3 Local Deployment Guide
Hardware, quantization, and runtime setup guidance for running Llama 3 locally with stable performance.
Read DeepSeek Local Deployment Guide
Software15 min
DeepSeek Local Deployment Guide
Practical DeepSeek planning for local inference: GPU sizing, latency strategy, and deployment checklists.
Quick Links
How-To Guides
How-To Guides
Step-by-step tutorials
GPU Buyer Guides
GPU Buyer Guides
Best GPUs for every use case
Model Comparisons
Model Comparisons
LLM vs LLM showdowns
Alternatives
Alternatives
Free & local options
Learning workflow
Model requirements
Model requirements
Check Q4/Q8 VRAM needs first
Compatibility checks
Compatibility checks
Validate GPU + model fit
GPU benchmarks
GPU benchmarks
Compare VRAM and throughput
Build guides
Build guides
Pick a proven component plan
Model comparisons
Model comparisons
Choose the right model family
Learn FAQ
Where should I start if I want to run AI locally?
Start with the core getting-started guides, then check model VRAM requirements and GPU compatibility pages before buying hardware.
How do I connect guides to hardware decisions?
Use the guides to understand quantization and model classes, then open /models and /can pages to validate VRAM fit and expected speed for your target workload.
What if my current GPU cannot run the model I want?
Switch to lower-bit quantization, choose a smaller model family, or compare alternatives in /gpus and /builds to find a better hardware path.
Need Specific Help?
Our how-to guides cover specific models and tools in detail.