CONFIGURATION / CAPACITY
RTX 5090 · 32 GB VRAM
One CUDA GPU with 32 GB dedicated VRAM. A model below 32 GB in the generic Q4 estimate is a planning candidate, not a tested fit. CPU offload needs system RAM and may reduce speed. manufacturer specification ↗.
Text models within the planning estimate
These are capacity candidates under a generic Q4 formula, not measured executions. The total estimate does not separately prove KV cache, vision encoder, runtime support or multi-GPU placement.
| Model | Q4 planning | Quality | Checkpoint |
|---|---|---|---|
| Qwen3.5 9B | ~15 GB | — | source ↗ |
| Qwen3.8 27B | ~29 GB | 75.3 · LiveBench 2026-06-25 | source ↗ |
Documented media paths
These are publisher-documented CUDA memory paths; exact GPU architecture, ARM64, precision, offload, resolution and runtime may differ from this machine.
- FLUX.2 [dev] · 24 GB · Quantized consumer-GPU path with a remote text encoder · evidence ↗
- Wan2.1 T2V 1.3B · 8.19 GB · Official T2V 1.3B configuration · evidence ↗
Specification reviewed: 2026-09-24. No price or stock claim is made here.