Complete AI Training
Start for Free

Your job's AI kit

Get your AI kit

Tell us who you are and what you do. We show you your kit right away and email you the link: skills, prompts, AI agents, MCP servers and courses for your job.

500+ jobs ready, and we make a kit for any other job. No payment needed to look.

Share

Video course · 4 chapters · 68 min · certificate

Local AI Hardware Guide for Beginners in 2026

AI Master teaches how to choose local AI hardware. The course covers four machines: Mac Mini M6/M5 Pro, HP Z2 Mini G1a, NVIDIA DGX Spark, and Mac Studio M5 Ultra.

Signup & Start for FreeAlready a member? Sign in

What you'll learn

  • Compare unified memory bandwidth across Apple, AMD, and NVIDIA local AI machines
  • Estimate which model sizes fit in onboard memory before purchase
  • Identify how prefill and decode speeds change real-world chat and coding use
  • Evaluate the cost per token of running local models versus cloud APIs
  • Choose a machine tier that matches your model size and workflow needs
  • Recognize the practical limits of memory ceilings, GPUs, and upgrade paths

Chapters

4 chapters · 68:27
  1. 17:43 01Apple Silicon Members Apple Mac Mini M6 / M5 Pro: Local AI in a Compact Setup How Apple's M6 and M5 Pro unified memory and bandwidth shape local AI performance in a small desktop.
  2. 19:40 02AMD Workstation Members HP Z2 Mini G1a: 128GB AI Workstation A compact AMD workstation with a large memory pool for bigger models, coding, and sustained local inference.
  3. 11:39 03NVIDIA CUDA Members NVIDIA DGX Spark: CUDA for Local AI NVIDIA's compact DGX Spark brings Blackwell and CUDA to desktop local AI with strong prefill and fine-tuning potential.
  4. 19:25 04Apple Ultra Members Apple Mac Studio M5 Ultra: High-End Local AI Apple's Mac Studio M5 Ultra is the high-capacity option for large models, with massive unified memory and bandwidth.