text model · Nemotron · Windows

Can I run Nemotron Nano 9B v2 on Nvidia GeForce RTX 3060 Ti (8GB)?

Compatibility verdict VRAM threshold engine

No, not enough memory would not load

No. Nemotron Nano 9B v2 needs ~7.6 GB even at Q4_K_M, but Nvidia GeForce RTX 3060 Ti (8GB) only has ~7 GB usable.

Needs ~7.6 GB Device usable ~7 GB

Needs ~7.6 GB even at Q4_K_M, but only ~7 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 0.6 GB: Nemotron Nano 9B v2 needs roughly 7.6 GB at Q4_K_M and Nvidia GeForce RTX 3060 Ti (8GB) leaves only about 7 GB usable for a model. The lightest tracked hardware that runs Nemotron Nano 9B v2 is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See Nemotron Nano 9B v2 on Nvidia GeForce RTX 3060 (12GB).

Q4_K_M needed: ~7.6 GB
Usable on device: ~7 GB
Device memory: 8 GB

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Which quant fits

Quant ladder vs ~7 GB usable

Q2_K

~5.3 GB

Q3_K_M

~5.9 GB

Q4_K_M

~7.6 GB

Q5_K_M

~7.9 GB

Q6_K

~8.9 GB

Q8_0

~10.3 GB

FP16

~19.3 GB

The line marks Nvidia GeForce RTX 3060 Ti (8GB)'s ~7 GB budget; rungs past it are too large.

How to run it

On Windows use LM Studio (Best GUI on Windows, auto-detects CUDA/Vulkan backends.).

Model Nemotron

Parameters: 9B
Q4_K_M size: 6.08 GB
Q8_0 size: 8.81 GB
Context: 128k

Full Nemotron Nano 9B v2 requirements →

Device Windows

Memory: 8 GB vram
Usable for weights: ~7 GB
Power draw: ~200 W
Best runtime: Ollama (CUDA) / llama.cpp CUDA

Best models for Nvidia GeForce RTX 3060 Ti (8GB) →

What you can run instead

Run Nemotron Nano 9B v2 on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Samsung Galaxy S24 Ultra Generic Android Phone (12GB RAM)iPhone 17 Pro iPhone Air

FAQ

Can Nvidia GeForce RTX 3060 Ti (8GB) run Nemotron Nano 9B v2?

No. Nemotron Nano 9B v2 needs ~7.6 GB even at Q4_K_M, but Nvidia GeForce RTX 3060 Ti (8GB) only has ~7 GB usable.

How much memory does Nemotron Nano 9B v2 need?

Nvidia GeForce RTX 3060 Ti (8GB) does not have enough memory. At Q4_K_M the weights are ~6.08 GB; with KV cache and runtime overhead, budget ~7.6 GB at a 4k context.

What is the best tool to run Nemotron Nano 9B v2 on Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Markdown

[![Nemotron Nano 9B v2 on Nvidia GeForce RTX 3060 Ti (8GB)](https://localmodel.run/badge/nemotron-nano-9b/nvidia-rtx-3060-ti-8gb.svg)](https://localmodel.run/can-i-run/nemotron-nano-9b/nvidia-rtx-3060-ti-8gb)

Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.