
NVIDIA Nemotron-3-super-120B-A12B on NVIDIA GeForce RTX 5060 Ti 16GB
RTX 5060 Ti 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
448 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 5060 Ti 16GB at Q2_K. This pairing has limitations β check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q2_K | β | β | β Offload | Not viable | estimated |
Notes
Q2_K
Q2_K needs ~40GB but this device has 16GB. Requires offloading; throughput degrades sharply. Estimated for rtx-5060-ti-16gb; verify with community benchmarks.
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 βAbout NVIDIA GeForce RTX 5060 Ti 16GB
NVIDIA GeForce RTX 5060 Ti 16GB has 16 GB at 448 GB/s. Street price: $429.
See all models NVIDIA GeForce RTX 5060 Ti 16GB can run βEstimate method: Estimated from rtx-4060-ti-16gb matrix rows scaled for rtx-5060-ti-16gb memory bandwidth (Ada Gate A methodology). Reference hardware source: nvidia.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.