Local Ai
$10–12K build for local agentic coding: 1× 5090 vs 4× 3090 vs hybrid vs PRO 6000 vs Mac Studio?
TL;DR: I'm buying hardware for local agentic coding. My budget is ~10K, I can go up to 12K if the difference is significant. I'm leaning toward a single RTX 5090 and would like a sanity check from peo
TL;DR: I'm buying hardware for local agentic coding. My budget is ~10K, I can go up to 12K if the difference is significant. I'm leaning toward a single RTX 5090 and would like a sanity check from people who run coding agents locally. Use case - Agentic coding - Sometimes 2–4 parallel subagents - Reverse-engineering Nice to have - Texture generation with Hunyuan3D-2.1. It needs CUDA and ~21 GB VRAM for texturing. But this item can be optional Options I'm considering (approx. total build cost) - 1× RTX 5090 - 4× RTX 3090, used - Hybrid: 1× RTX 5090 + 2× RTX 3090 (this can be bought later) - Mac Studio M5 Ultra 256 GB - PRO 6000: over the budget, but can consider Questions For agentic coding with long contexts, does 1× 5090 feel better day-to-day than 4× 3090? Is the 3090's long-context prefill as bad as these numbers suggest? Is the hybrid (5090 + 2× 3090 as separate vLLM instances, x8/x8/x4 on AM5) worth it, or is it a headache? Am I missing a better option (waiting for the 50 Super, modded 4090 48 GB, etc.)? submitted by /u/Shadmelor [link] [comments]
Related
- Do people building local LLM rigs track RTX Ada/workstation card prices, or just consumer cards like the 5090?
- What GPUs will give me GOOD speeds and on DSV4 Flash and similar models, and not have to run a mega quantized version? Budget around $15k-ish.
- What are the current best retail GPUs for max VRAM at a reasonable price?
Source: r/LocalLLaMA | 2026-10-26