NVIDIA Nemotron-3-super-120B-A12B on NVIDIA GeForce RTX 4060 8GB
RTX 4060 8GB cannot run NVIDIA Nemotron-3-super-120B-A12B. 8 GB VRAM is insufficient at any quantization level.
Model Size
120B
Device VRAM
8 GB
Bandwidth
272 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 4060 8GB 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 ~40GB but this device has 8GB. 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 4060 8GB
NVIDIA GeForce RTX 4060 8GB has 8 GB at 272 GB/s. Street price: $289.
See all models NVIDIA GeForce RTX 4060 8GB can run →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.