What Nemotron-3 Super is
Nemotron-3 Super is NVIDIA's open 120B mixture-of-experts model with 12B active parameters per token, designed for agentic workflows, step-by-step reasoning, and high-volume tasks such as IT ticket automation. It produces a visible reasoning trace before the final answer; reasoning mode can be toggled through the chat template. Ollama lists 256K native context, tool support, and text-only input across English, French, German, Italian, Japanese, Spanish, and Chinese.
The local nemotron-3-super:120b
build is roughly 87 GB on disk and typically requires substantial GPU memory for comfortable local
inference. Terminal Glass uses
nemotron-3-super:cloud so you
can evaluate the model's agentic and reasoning quality without that hardware commitment. It is not a
general multilingual substitute for families with broader language coverage -- seven languages are
supported, not open-ended global coverage.
The Terminal Glass trade-off
Terminal Glass gives you the same OpenWebUI chat experience and locally stored RAG index you would use on a private deployment -- but routes each inference request to Ollama Cloud. Your server runs the Ollama client, OpenWebUI, and your document index; a small cloud VM, NUC, or mini-PC is usually enough. You do not need to host an 87 GB model download or size GPU clusters for 120B-class responses on day one.
Honest reality: Every prompt and retrieved RAG chunk leaves your infrastructure and is processed on Ollama Cloud. This is not air-gapped and is not equivalent to NoCloudGPT Private Instances, where inference stays on hardware you control. You also pay recurring, usage-based Ollama Cloud fees that grow with reasoning depth, context length, and agent loop volume. When confidential or regulated work must stay on your network, choose a NoCloudGPT Air Gapped deployment instead.
Source: Wikimedia Commons
What about the video card?
This is the question most buyers are actually trying to answer.
Running these models without a proper GPU usually means falling back to CPU only. This works for very light use, but it becomes extremely slow for normal workloads. Many people discover this the hard way after spinning up a cloud server that ends up being too expensive or too slow.
Some teams want to avoid dealing with GPUs altogether. For them, Terminal Glass Cloud is usually the simpler option -- you get capable models through a familiar OpenWebUI interface without having to select, size, or manage video cards.
Other teams prefer to run on infrastructure they control. In that case, they typically choose a GPU-based instance (on AWS Lightsail, Digital Ocean, or their own servers) and install NoCloudGPT on it. Because these models are designed to run with local Ollama, you become responsible for selecting and managing the GPU.
Some organizations need everything to stay fully inside their own environment from day one. For those teams, a NoCloudGPT Air Gapped deployment on their own hardware is the right approach.
There isn’t a single right answer. The right answer depends on your constraints around cost, privacy, compliance, latency, and long-term ownership.
Who This Model Family is For
👤 Personal Use
A practical fit if you want strong long-form writing, structured summarization, or step-by-step reasoning on a laptop or mini-PC that cannot host the 120B build locally. Occasional use can be more economical than buying inference hardware upfront. Anything you type -- personal notes, legal drafts, financial details -- is sent to Ollama Cloud; keep that material on NoCloudGPT Private Instances instead. Sustained daily use may accumulate cloud costs that eventually favor owned hardware.
🏢 Business / Team Use
Small teams use Nemotron-3 Super Cloud for drafting proposals, cleaning internal documentation, first-pass customer replies, and reasoning over moderately complex briefs through shared OpenWebUI. It suits internal productivity work where several people need a capable assistant without anyone managing GPU infrastructure. It is not appropriate for patient records, financial PII under strict controls, attorney-client material, export-controlled content, or strict data-residency rules -- those require NoCloudGPT Private Instances.
⚙️ Developer & Technical Use
Useful for prototyping agentic features, reasoning chains, and structured-output pipelines before
you commit to NVIDIA-class GPU infrastructure. Standard Ollama tags port to a self-hosted
nemotron-3-super:120b on
NoCloudGPT Private Instances when volume justifies it. Round-trip latency to Ollama Cloud makes
this a poor fit for tight, high-frequency tool-calling loops compared with local inference.
🔬 Data Science & Research Use
Helpful for literature summarization, hypothesis drafting, analysis-script generation, and reasoning over public datasets in short bursts without GPU procurement. Cloud inference is not strictly reproducible when provider behavior or tags change. Embargoed, proprietary, or publication-bound data should stay on fully local NoCloudGPT Private Instances with a pinned model version.
How Terminal Glass Works with This Model
You interact through OpenWebUI on your Terminal Glass host (or via the command line). Chat history, user accounts, and your locally built RAG document index stay on hardware you control. When you submit a prompt, the request -- including any retrieved passages -- is forwarded to Ollama Cloud where Nemotron-3 Super runs; the response streams back to your browser or API client.
Cloud access requires an Ollama account (ollama signin)
on the Terminal Glass machine. Reasoning-enabled prompts and long 256K contexts increase per-request
token volume relative to short chats.
ollama signin
ollama run nemotron-3-super:cloudWhat leaves your infrastructure: prompt text and RAG-retrieved passages. Nemotron-3 Super is text-only on Ollama -- there is no image input path. Latency is typically higher than a warm local model and increases with reasoning traces and multi-step agent loops. Cost scales with token volume, including reasoning tokens in the visible trace.
Honest Guidance: When to Choose a Different Path
- Regulated, confidential, or data-residency-sensitive work -- Choose NoCloudGPT Private Instances running Nemotron locally. Terminal Glass routes prompts to Ollama Cloud.
- High-frequency tool calling or low-latency agent loops -- Local inference on owned NVIDIA or compatible GPU hardware performs better than cloud round-trips.
- Sustained or high-volume workloads -- Recurring cloud token spend can exceed the cost of owned inference hardware over many months.
- Guaranteed reproducibility or fixed model versions -- A pinned local deployment on NoCloudGPT Private Instances is more reliable for compliance review or regression testing than a cloud tag that may change behavior.
- Broad multilingual coverage beyond seven languages -- Consider Qwen 3.5 Cloud or another family if your primary languages fall outside NVIDIA's supported set.
- Clinical or diagnostic use -- Nemotron-3 Super is a general-purpose model, not a validated medical device. Do not use it for patient care decisions without clinical governance your compliance team approves.
Recommended Terminal Glass Deployment
| Variant / Tag | Recommended For | Notes | |
|---|---|---|---|
| nemotron-3-super:cloud | Teams evaluating agentic and reasoning workflows | 256K context, text only, medium usage tier on Ollama. Only verified Nemotron-3 Super cloud tag. Pair with local RAG for internal knowledge assistants when document indexes can stay local but inference may leave your network. | Get quote → |
Terminal Glass keeps RAG indexes and OpenWebUI on your host while offloading Nemotron inference to Ollama Cloud. Confirm current tags at ollama.com/library/nemotron-3-super before deployment.
Licensing & Access
Nemotron-3 Super cloud access requires an Ollama Cloud account with usage-based pricing; rate limits and tiers apply and may change. The open model is governed by the NVIDIA Nemotron Open Model License, which permits commercial use subject to NVIDIA's terms, including export and compliance requirements. Ollama Cloud usage is separately governed by Ollama's terms -- review both before production deployment.
Official catalog: ollama.com/library/nemotron-3-super · Model card: NVIDIA-Nemotron-3-Super-120B-A12B-BF16 on Hugging Face
What Terminal Glass adds
Terminal Glass packages a shared OpenWebUI interface, locally stored private RAG over your documentation, per-user access controls, and guidance on monitoring cloud usage so spend stays predictable.
We help you size the local host and choose the right cloud variant for your team.