NVIDIA Nemotron-3-super-120B-A12B on NVIDIA GeForce RTX 5090
RTX 5090 cannot run NVIDIA Nemotron-3-super-120B-A12B. 32 GB VRAM is insufficient at any quantization level.
Model Size
120B
Device VRAM
32 GB
Bandwidth
1792 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for NVIDIA Nemotron-3-super-120B-A12B on NVIDIA GeForce RTX 5090 at Q2_K. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | 23 tok/s | 652ms | ✗ Offload | Marginal | estimated |
Notes
Q2_K
Q2_K needs ~40GB but this device has 32GB. Requires offloading; throughput degrades sharply.
About NVIDIA Nemotron-3-super-120B-A12B
NVIDIA Nemotron-3-super-120B-A12B (120B) is a chat, coding, reasoning, multi-purpose model. MoE architecture with 120B total parameters and roughly 12B active per token. Requires VRAM for the full expert pool but decodes more like a smaller model once loaded. Native 131K context with 1M-token extension support.
View all NVIDIA Nemotron-3-super-120B-A12B hardware options →About NVIDIA GeForce RTX 5090
NVIDIA GeForce RTX 5090 has 32 GB at 1792 GB/s. Street price: $2,199.
See all models NVIDIA GeForce RTX 5090 can run →Builds with NVIDIA GeForce RTX 5090
Estimate method: Estimated from MoE benchmark reports and bandwidth scaling for 12B-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.