DGX Spark 101
Start with what a DGX Spark is, then learn how its unified memory differs from a normal graphics card, why memory bandwidth rather than raw compute decides how fast it answers, and how to work out which models fit in 128 GB. Four lessons published, two more on running and serving a model in progress.
Start guide →What a DGX Spark Is
Start here. What the machine is, what problem it solves, and who it is actually for.
Inside the Machine
The one design choice that makes a DGX Spark different from every PC you have used: it has no separate graphics memory.
Why Memory Decides Everything
The machine reads fast and writes slowly, and one number explains both. Meet memory bandwidth.
What Models Actually Fit
How to work out the size of any model before you download it, what quantization really does, and what 128 GB buys you.
Getting a Model Running
The practical path from a fresh machine to a working model, and the three things that will break on the way.
Using It From Anywhere
Reach your machine from your phone in another country, keep it running through reboots, and see what it is doing.
Each lesson has a quick usefulness check. I only show the public useful count; written notes stay private and help shape future revisions.