tbh a single NVIDIA GeForce RTX 4090 24GB is great for most things, but deepseek-v3 is a total vram hog. 24gb is gonna feel real cramped if you want to run anything other than the smallest quants. since youre on a $2500 budget for the whole rig, dont blow $1800 on one card. i usually suggest people look for two used NVIDIA GeForce RTX 3090 24GB cards instead. you can find them for around $700-$800 if you look around. having 48gb vram makes a world of difference for these huge models. just make sure you grab a solid psu like the EVGA SuperNOVA 1300 G+ 1300W because dual cards eat power for breakfast. spend the leftover cash on at least 128gb of system ram just in case you need to offload some layers to the cpu. its the most logical way to stretch your dollar for an llm build right now.

@Reply #1 - good point! Honestly, it is pretty disappointing how much hardware this model eats. Even with your $2500 budget, trying to run the full DeepSeek-V3 is gonna be a real struggle... unfortunately a single 4090 just doesnt cut it for a 671B parameter beast. You really need total VRAM capacity more than raw clock speed for this specific project. To keep the whole rig under your budget, you are basically forced into the used market for GPUs:

• Hunt for two used NVIDIA GeForce RTX 3090 24GB GDDR6X cards. You can usually find them for around $700-800 each on marketplaces.
• 48GB total VRAM lets you run decent quants, but youll still need Crucial 128GB DDR5 5600MHz RAM to offload the layers that wont fit.
• Definitely grab a EVGA SuperNova 1600 G+ 1600W PSU because dual 3090s pull massive power under load. It is not as fast as the cloud setups, but it gets you away from the censorship. Happy to help you tweak the component list if you find some deals!

Look, if you are really trying to run DeepSeek-V3 locally, you need to be realistic about the hardware requirements. Forget the 4090. Spending that much on a single card is a trap when you need raw VRAM above all else. In my experience, you should hunt for a used NVIDIA GeForce RTX 3090 24GB setup. Honestly, grabbing two of those used off a marketplace is the only way you are going to get close to 48GB of VRAM without completely blowing your $2500 budget. I have tried various configurations over the years and for these massive parameter models, bandwidth and capacity matter way more than the fancy bells and whistles of the newer generation. Make sure you get a beefy power supply like a Corsair RM1200x 1200W Gold so you dont run into stability issues during long inference sessions. It is way more reliable to have that extra headroom. Keep it simple, buy used, and spend the extra cash on more RAM for your system, you are gonna need it.

Wow ok that changes things. Gonna have to rethink my approach now.

Omg I love that you're jumping into this! DeepSeek-V3 is literally the dream model for local coding right now, it's so fantastic! But honestly, running a 671B parameter model is a massive undertaking. To be super safe and reliable with your build, you gotta prioritize VRAM over raw clock speed every single time. A single NVIDIA GeForce RTX 4090 24GB is an absolute beast for gaming, but for a model this big? You're gonna get hit with OOM errors before you even finish your first prompt, which is just the worst feeling ever lol. If you want this to actually work by Friday on a $2500 budget, my big tip is to hunt for two used NVIDIA GeForce RTX 3090 24GB cards. They still have that sweet 24GB of VRAM and they're much more budget-friendly. Combining two gives you 48GB, which is a great start, though you'll still be relying on heavy quantization or some system RAM offloading via GGUF to fit the beast. One thing though... you absolutely must get a beefy power supply to stay safe. I'd go with something like the EVGA SuperNOVA 1300 G2 80 PLUS Gold because those cards can spike like crazy and you dont want your rig crashing mid-code. Also, make sure your case has amazing airflow so you dont bake your components while it's crunching tokens. It's gonna be such a fun project, honestly nothing beats that feeling of a private, uncensored local LLM just humming away!