im currently looking at three different paths and i’m kinda stuck. first option is just grabbing a used rtx 3090 off ebay for like 700 bucks. the 24gb of vram seems like the gold standard for these models but the power draw scares me a bit since my psu is only 750w and like i said the heat is a real issue in this small space. then i was thinking about maybe doing two rtx 4060 ti cards - the 16gb versions. that would give me 32gb of vram which sounds insane for the price but i’ve heard mixed things about how well deepseek handles multi-gpu setups on consumer hardware without nvlink. is the latency gonna kill me?

the third way is just biting the bullet and getting a single 4080 super. it’s way more efficient and newer but only has 16gb vram. im worried v4 flash might need more than that to run at a decent speed without heavy quantization which i’d like to avoid if possible. i need to get this ordered in the next two weeks so i can have it up and running for a big project starting next month. im really trying to find that sweet spot where i dont have to compromise too much on the context window either because some of these repos i work on are huge.

so what do you guys think is the best way to go for the best balance of speed and power efficiency here? is the 24gb on the older 3090 still king or should i go with the newer dual card setup...

Do I need a special brand or just a lot of memory? I heard VRAM is important but I don't really get what that means for speed. Sorry if this is a really basic question I just don't want to buy the wrong thing...

My laptop is kinda old too so it cant handle anything too crazy. Does anyone know what the best AI tools are for someone who is a total beginner? I just need to cut out the silences and maybe add some captions without it taking me ten hours...

So I was thinking maybe I should let it refactor my custom hooks? My logic was that it might understand the context better that way but Im worried itll just bloat the codebase with weird abstractions. Has anyone actually figured out the best skills or workflow for specifically React state management or is it better to just keep it on a tight leash...

Im looking to spend maybe $7 or $8 a month max since it's just for 4-5 people and we only play on Saturdays. I tried a basic DigitalOcean droplet but the latency from Virginia was all over the place for my friends in the midwest even though the ping looked fine on paper. It's super frustrating because the engine is so light but it feels like the host is throttling the traffic or something weird is happening with the UDP packets.

• Needs to be Linux friendly (Ubuntu 22.04 ideally)


• Low jitter is a must because OpenClaw gets real twitchy if the connection isnt stable


• East Coast or Central US servers

I'm kinda running out of time here because the session is supposed to be tomorrow night and I still dont have a stable box ready to go. Is there a specific host that handles these older engine ports better or am I just doing something wrong with the config...

I'm working on this massive React migration for a client in Seattle and the deadlines are getting really tight but Copilot keeps giving me these weird hallucinations for our legacy components. I spend way more time debugging its trash suggestions than actually shipping code. Is there anything better for deep context or maybe something that helps with documentation and testing specifically? I've got a decent budget for tools if they actually work but man I'm just so tired of the hype not meeting reality...