NVIDIA30B/3B active~19 GB VRAM at Q4_K_M

Nemotron 3 Nano Omni 30B-A3B — VRAM, speed & local setup

Written by Jakub Rusinowski · Last updated

30B total, 3B active per token. Accepts text, image, speech and video and returns text. All 30B must be resident — 18.9 GB at Q4_K_M, so a 24 GB card carries it — while the per-token bandwidth cost is that of a 3B model, which is why it feels far quicker than its size suggests. 260K context, NVIDIA Open Model License.

Nemotron 3 Nano Omni 30B-A3B needs about 19 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.

Logic84
Creative80
Coding78

VRAM and speed by quantization

Quoted against NVIDIA RTX 4090 (24 GB). Weights plus overhead only: this model's architecture is unpublished, so no KV cache is added.

QuantVRAMSpeed (est.)Fit
Q2_K
2.63 bpw
10.7 GB~212 tok/sFits
Q3_K_M
3.41 bpw
13.6 GB~196 tok/sFits
Q4_K_M
4.83 bpw
18.9 GB~172 tok/sFits
Q5_K_M
5.67 bpw
22.1 GB~160 tok/sTight
Q6_K
6.56 bpw
25.4 GB~22 tok/sOffload
Q8_0
8.50 bpw
32.7 GB~20 tok/sOffload
F16
16.00 bpw
60.8 GB—Too big

Black marker = usable memory on the NVIDIA RTX 4090 (24 GB). Estimates from the memory-bandwidth roofline on the methodology page. Nemotron 3 Nano Omni 30B-A3B VRAM calculator →

Get Nemotron 3 Nano Omni 30B-A3B running

The cheapest catalogued GPU that runs Nemotron 3 Nano Omni 30B-A3B is the AMD Radeon RX 7900 XTX (24 GB).

Buy this hardware AMD Radeon RX 7900 XTX 24GB — 24 GB VRAM · 355 W board powerDeploy in the cloud now RTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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AMD Radeon RX 7900 XTX 24GB
24 GB VRAM · 355 W board power
2026 prices are volatile — check the current listing.

How to run Nemotron 3 Nano Omni 30B-A3B

Install Ollama, then run:

ollama run nemotron-3-nano-omni
Weights on Hugging Face: nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 ↗

Specifications

Verified — Checked against the primary source — the model card or the vendor spec page — and corroborated by a second independent source.

Parameters
30 Billion (3B active)
Context window
260,000
Architecture
Mixture-of-Experts (omni-modal: text, image, speech, video)
Provider
NVIDIA
Licence
NVIDIA Open Model License
Practical deployment
Single consumer GPU
Specified at
Q4_K_M
System RAM
32 GB
Record updated
2026-09-06
LicenceNVIDIA Open Model LicenseCommercial use permitted

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

Quality and use cases

Scores as published by the model’s authors or an independent evaluator — quality, not throughput, and not measured by us.

Best formultimodalvideoaudioagentic tasksreasoning

Can I run Nemotron 3 Nano Omni 30B-A3B on my GPU?

Nemotron 3 Nano Omni 30B-A3B — frequently asked questions

How much VRAM does Nemotron 3 Nano Omni 30B-A3B need?

About 19 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.

Does Nemotron 3 Nano Omni 30B-A3B run on an RTX 4090 (24 GB)?

Yes. Nemotron 3 Nano Omni 30B-A3B needs about 19 GB at Q4_K_M, inside a 24 GB card, at an estimated 172 tokens/sec.

How do I run Nemotron 3 Nano Omni 30B-A3B locally?

Install Ollama and run `ollama run nemotron-3-nano-omni`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.