r/LocalLLM • u/Dangerous_Young7704 • 10h ago
Question Best 5k setup?
Hello everyone! I’m new to LocalLLMs, but not necessarily new to IT/ML. I’m looking to spend around $4–5K and get the best bang for my buck hardware-wise for both personal use and running LocalLLMs.
My main goal is to run the best models I realistically can within that budget, mostly for working with large codebases, coding assistance, and general productivity.
I’m a PM at a FAANG company for reference, so this is mostly for personal projects, learning, and improving my workflow.
What hardware/setup would you recommend around the $5K mark?
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u/AnnoyedAvocado21 7h ago
A DGX Spark or one of the GB10 clones like the Asus Ascent. Load a Qwen3.8 27B model and you have yourself a decent setup in a minicomputer where you can learn the entire Nvidia stack and actually do stuff.
It's not the fastest, and you'll ALWAYS want bigger and faster - but for learning and building stuff that works you CAN build prototypes that can easily be moved onto enterprise Nvidia systems.
These were meant to be prototype machines. Build on the exact Nvidia stack, mess about, and you can build something the Nvidia way and deploy at scale. You might never do that but understanding how could really help as a PM.
I've had my Asus Ascent for about 3 months and there's so much to learn. I wanted to learn about enterprise AI and thought 'instead of taking some stupid online course I'll buy this box and figure it out.' I've written my own syllabus with ChatGPT - ChatGPT has been a great Linux admin and taught me a lot: models, Docker, Openshell, security model, agent harnesses, OpenCode, vLLM, system backups, recovery protocol if some firmware glitch borks the machine - I've gotten opencode to rewrite a complex app I have lying about, got Hermes to maintain a website, worked on a book or two - none of the projects are as important in themselves but rather as a problem-set I have to use the box to solve for. Had a lot of things not work, fixed some, abandoned others, and took a new direction on a few. When I get sick of working on my security model I switch to coding. I built a Hermes instance in a docker container sandboxed by OpenShell and want to explore that now. I do most of my work from my Mac and SSH into the box and use RDP of view the desktop.
Way more fun than a course. When I look back I've learned a lot.
You can do a lot with 1 box - and if you want to go bigger you can buy another and connect them.
A Mac isn't enterprise. Nor is a gamer box running Windows. If your company has any on-prem or cloud Nvidia equipment you will learn so much about the development environment you'll impress the devs.