I got a desktop supercomputer? | NVIDIA DGX Spark overview

Hey everyone!!

Today, I can finally launch a video about my experience with the new *NVIDIA DGX Spark* , a bespoke device for specifically AI workloads, which is great because local AI is literally my day job!

In this video, I go over my experience with the DGX Spark, the tools it comes with, and showcase some dead-simple capabilities running OpenAI's GPT-OSS 120B as well as fine-tuning a Gemma 4B model for a customer support use case with *Unsloth* .

You can run and fine-tune much larger models on this device. If you have something you want me to try on this - let me know!

## Resources and Links
NVIDIA DGX Spark Press Release: https://nvidianews.nvidia.com/

### AnythingLLM
https://anythingllm.com
AnythingLLM Desktop: https://anythingllm.com/desktop
AnythingLLM Mobile on Google Play: https://play.google.com/store/apps/details?id=com.anythingllm
GitHub: https://github.com/Mintplex-Labs/anything-llm

### Unsloth (Fine-tuning)
https://unsloth.ai
FineTuning Notebook w/Granite4: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb

## CHAPTERS
0:00 Introduction
0:37 Unboxing the NVIDIA DGX Spark
1:45 DGX Overview, Look, Feel, and Specs
5:00 DGX Available Configurations
6:00 Reddit Criticisms - this is not a personal PC
7:20 The HomeLab setup use case
8:13 External form factor and craftsmanship
10:00 Using the built-in Operating system (DGX OS)
11:00 Running Ollama and GPT-OSS 120b
12:30 Document analysis use-case in AnythingLLM Desktop
16:00 Fine-Tuning demonstration on the DGX Spark!
25:54 Wrapping up my thoughts
26:32 What am I going to do with this now?