RTX 5090 guide
The RTX 5090's 32GB VRAM class is a strong local-AI workstation tier. This guide uses the same 1.5GB system reserve and Q4 planning estimates as the calculator, so it treats about 30.5GB as clean practical VRAM.
27B-32B Q4 models have room for local coding, chat, and agent tests.
Qwen3.6 27B is a clean RTX 5090 fit at about 17 GB Q4 runtime before long-context overhead.
Long-context agent loops still increase KV-cache pressure.
Use apiroute.dev when the workload needs frontier hosted APIs or very large models.
Clean 32GB Q4 fit with useful headroom for agent, coding, or reasoning workflows.
Clean 32GB Q4 fit with useful headroom for agent, coding, or reasoning workflows.
Clean 32GB Q4 fit with useful headroom for agent, coding, or reasoning workflows.
Clean 32GB Q4 fit with useful headroom for agent, coding, or reasoning workflows.
Clean 32GB Q4 fit with useful headroom for agent, coding, or reasoning workflows.
Clean 32GB Q4 fit with useful headroom for agent, coding, or reasoning workflows.
Clean 32GB Q4 fit with useful headroom for agent, coding, or reasoning workflows.
Clean 32GB Q4 fit with useful headroom for agent, coding, or reasoning workflows.