RTX 6000s Set Local Coding Ceiling

The hot take is that “off the grid” is mostly a workflow and model-quality problem, not just a spend-more-on-GPUs problem. You can get very far with local inference, but the gap to top-tier hosted models still matters for hard coding tasks.

• –Dual RTX PRO 6000s keep the build relatively sane: normal case, normal PSU, no risers, and enough memory bandwidth to stay useful for large models
• –Raw GPU count is not the whole story; memory bandwidth and VRAM per card matter more than stacking a pile of cheaper boards
• –Used 3090 rigs still look attractive on value, but they bring electrical, cooling, and assembly pain that eats the savings
• –Apple Silicon and mini-PC style boxes are compelling for convenience, but they’re still tradeoffs versus a serious multi-GPU workstation
• –The bigger limiter is model capability: local setups can be very good for coding assistance, but they still trail the best hosted agents on difficult, open-ended tasks