Had a moment to think about your build. Honestly, 3k is doable if you prioritize VRAM. You should grab two NVIDIA GeForce RTX 3090 24GB GDDR6X cards used to get 48GB of VRAM total. That usually handles these larger parameter models way better than one new card. Pair that with a AMD Ryzen 9 7900X 12-Core 4.7GHz and at least 64GB of DDR5 RAM. Its not top-tier, but for coding projects, itll fly.

> You should grab two NVIDIA GeForce RTX 3090 24GB GDDR6X cards Like someone mentioned, those cards are legendary for the price! If you want a modern route, the NVIDIA GeForce RTX 4090 24GB GDDR6X is faster but pricey. Are you planning on doing heavy training or just inference? If it is just inference, you could go with a single NVIDIA RTX 6000 Ada Generation 48GB GDDR6 if you find a deal, but that budget is tricky!

Honestly, 3k is gonna be a tight squeeze for what you want. Running large models locally is a massive headache because you need way more VRAM than people expect. I tried running similar scale models and the performance was honestly not as good as expected, mostly because I skimped on the GPU. Here is the reality of your options:

• NVIDIA GeForce RTX 4090 24GB GDDR6X: It is the gold standard for home setups but eats half your budget. It is expensive, but everything else is just frustratingly slow.
• NVIDIA GeForce RTX 3090 24GB GDDR6X: You can find these used. It is the best value if you can deal with the older architecture. It handles the memory requirements just fine. Unfortunately, anything less than 24GB of VRAM will lead to major issues. Dont bother with low-end cards, you will just regret it later.