NVIDIA Nemotron-3-super-120B-A12B on AMD Radeon RX 9060 XT 16GB
AMD Radeon RX 9060 XT 16GB cannot run NVIDIA Nemotron-3-super-120B-A12B. 16 GB VRAM is insufficient at any quantization level.
Model Size
120B
Device VRAM
16 GB
Bandwidth
320 GB/s
Quantization
Q2_K
Performance by Quantization
OwnRig currently has one published compatibility entry for NVIDIA Nemotron-3-super-120B-A12B on AMD Radeon RX 9060 XT 16GB 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
RDNA 4 card with improving ROCm support; Vulkan remains the safer default in llama.cpp. Q2_K needs ~40.0GB and relies on offloading on this card. MoE models still have to load the full expert pool into memory.
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 AMD Radeon RX 9060 XT 16GB
AMD Radeon RX 9060 XT 16GB has 16 GB at 320 GB/s. Street price: $349.
See all models AMD Radeon RX 9060 XT 16GB can run →Estimate method: Estimated from rtx-4060-ti-16gb compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-05-26)
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.