Why and how I reserved a Nvidia DGX Spark/Asus Ascent GX10.

Video Description

I have been really excited about Nvidia’s Project Digits (now DGX Spark) ever since I first heard about it – an AI computer on your desk! Let’s take a practical, no nonsense look at this machine and how it may, or may not, be useful for students, faculty, or anyone else who likes using LLMs. We’ll discuss the specs in normal people words and use cases, and I will tell you about how to reserve one and my frustrating yet hilarious experience reserving one. Is it worth the money? Let’s find out! Please Like and Subscribe to support the channel! @LearnMetaAnalysis Nvidia DGX Spark (formerly project digits): https://www.nvidia.com/en-us/products/workstations/dgx-spark/ Matt Williams video on Quantization: https://www.youtube.com/watch?v=K75j8MkwgJ0 Access state of the art LLMs all in one place with ChatLLM – My 3 month review of ChatLLM: https://youtu.be/_Z3nLKvTbGc Tutorials and how-to guides: Build a custom research assistant yourself with no coding and for free: https://youtu.be/x34IqZ14QUs Connect a LLM to your Zotero (or any other local folder): https://youtu.be/b2BSZfOtD_w Install OpenWebUI (it’s free and no coding!): https://youtu.be/gm_1VUg3L24 Conventional meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkEbYpBIgikgE0y9QR7QIgzs Three-level meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkHwRmu_TJXa7fSb6-WBXXoJ Three-level meta-analysis with correlated and hierarchical effects and robust variance estimation: https://www.youtube.com/playlist?list=PLXa5cTEormkEGenfcnp9X5dQUhmm7f9Jp Tired of manually extracting data for systematic review and meta-analysis? Check out AI-Assisted Data Extraction, a free package for R! https://youtu.be/HuWXbe7hgFc Free ebook on meta-analysis in R (no download required): https://noah-schroeder.github.io/reviewbook/ Visit our website at https://learnmeta-analysis.com/ 0:00 Intro 1:00 Why I want one 2:26 Specs in normal people words and uses 11:00 Asus Ascent GX10 12:32 Inventory, rumors, and thoughts 15:33 Reservation experience was not smooth 17:32 Why local AI? 18:04 Is it a “deal”? 20:58 Closing thoughts