Nemotron 3 Super — local AI model by NVIDIA

Written by Jakub Rusinowski · Last updated

NVIDIA's 120B open Mixture-of-Experts, activating just 12B parameters per token for compute efficiency on multi-agent workloads. Like the rest of the Nemotron line it generates a reasoning trace before its final answer, and NVIDIA publishes open weights alongside training data and recipes rather than weights alone. Positioned for collaborative agents and high-volume automation such as IT ticket triage. First-party Ollama tags exist at Q4_K_M, Q8_0 and BF16, so this is genuinely self-hostable — on a multi-GPU box rather than a laptop.

Ollama Library Hugging Face

Variants

The smallest Nemotron 3 Super variant needs about 73 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.

ModelVRAM
Nemotron 3 Super 120B-A12B →
120B (12B active)
~73.3 GB

Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.

How to run Nemotron 3 Super locally

Install Ollama, then pull the tag.

ollama run nemotron-3-super:120b-a12b

Pick a size above for its own VRAM figure, speed estimate and install command.

Licence

NVIDIA Open Model LicenseCommercial use permitted

Weights are downloadable and commercial use is permitted, subject to the licence’s acceptable-use terms.

Applies to: Nemotron 3 Super 120B-A12B

Recommended GPU

The cheapest catalogued GPU that runs Nemotron 3 Super locally (min 73 GB VRAM) is the NVIDIA DGX Spark (128 GB).

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NVIDIA DGX Spark (128GB)
128 GB VRAM · 150 W board power
2026 prices are volatile — check the current listing.

Can I run Nemotron 3 Super on my GPU?

Nemotron 3 Super — frequently asked questions

How much VRAM does Nemotron 3 Super need?

Nemotron 3 Super needs about 73 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Nemotron 3 Super 120B-A12B (73 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Nemotron 3 Super on an RTX 4090 (24 GB)?

Nemotron 3 Super's smallest variant needs about 73 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.

What quantization should I use for Nemotron 3 Super?

Q4_K_M is the best balance of quality and VRAM for Nemotron 3 Super in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Nemotron 3 Super with Ollama?

Install Ollama, then run: ollama run nemotron-3-super:120b-a12b. This downloads Nemotron 3 Super and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.