QwenQwen3.5-397B (MoE) on NVIDIA GeForce RTX 4090
RTX 4090 cannot run Qwen3.5-397B (MoE). 24 GB VRAM is insufficient at any quantization level.
Model Size
397B
Device VRAM
24 GB
Bandwidth
1008 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for Qwen3.5-397B (MoE) on NVIDIA GeForce RTX 4090 at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | – | – | ✗ Offload | Not viable | estimated |
Notes
Q2_K
Q2_K needs ~140GB but this device has 24GB. Requires offloading; throughput degrades sharply.
About Qwen3.5-397B (MoE)
Qwen3.5-397B (MoE) (397B) is a chat, coding, ai coding, reasoning, multi-purpose model. Frontier-scale MoE with 397B total parameters and roughly 30B active per token. Requires an enormous memory footprint even when quantized, so local runs are limited to GB300-class hardware or aggressive offloading setups.
View all Qwen3.5-397B (MoE) hardware options →About NVIDIA GeForce RTX 4090
NVIDIA GeForce RTX 4090 has 24 GB at 1008 GB/s. Street price: $1,799.
See all models NVIDIA GeForce RTX 4090 can run →Builds with NVIDIA GeForce RTX 4090
Estimate method: Estimated from frontier MoE reports and bandwidth scaling for ~30B-active models. Reference hardware source: github.com (2026-03-24)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.