Does Nemotron Nano 12B VL support zero data retention?

Yes. Nemotron Nano 12B VL is available with zero data retention by default on AWS Bedrock through the qynio gateway.

Where is Nemotron Nano 12B VL hosted?

Nemotron Nano 12B VL runs on US hosting routes through the qynio gateway.

Is Nemotron Nano 12B VL trained on prompts and outputs?

No. Every hosting route for Nemotron Nano 12B VL is configured so customer prompts and outputs are not used to train models by default.

Is a no-KYC deposit available for Nemotron Nano 12B VL?

Yes. A no-KYC Data Processing Agreement is available on at least one route serving Nemotron Nano 12B VL. Contact hello@qyn.io to receive it.

Nemotron Nano 12B VL

by NVIDIA

Nemotron Nano 12B VL is an open-weight 12B multimodal model built for document-centric AI. It pairs the language model with the CRadioV2-H vision encoder to reason over text, images, tables, charts, infographics, and video. Trained on roughly 39.5 million samples from 270 datasets (33 text-only, 176 text-image, 61 video-text) totaling about 27.7 TB, the model handles document intelligence, visual question-answering, summarization, and video analysis. It can process up to four document images at high resolution alongside long text prompts, with 128K token input and output. Aimed at enterprises handling document workflows, financial analysis, legal review, and content summarization, it is ready for commercial use. It is available in NVFP4, FP8, and BF16 quantizations and is supported by vLLM, TRT-LLM, and SGLang inference engines.

Open in playground Try in chat Compare

Key info

Input

Output

Features

Context window

128K

Max output

Input price

$0.06 /1M

Output price

$0.24 /1M

US residency available
Zero data retention on pay-as-you-go
No training by default
no-KYC deposit available

Available routes

Nemotron Nano 12B VL runs on 2 different routes through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Input	Output
AWS Bedrock	US	Zero data retention	No	$0.06	$0.24
DigitalOcean	US	Not by default	No	$0.20	$0.60

Uptime and availability

One of Nemotron Nano 12B VL's 2 routes is on the monitoring board, so the figure below is that provider's availability rather than the model's.

100%route uptime, last 30 days

Its other routes aren't measured here yet.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 1 further route is not on the board yet. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting Nemotron Nano 12B VL has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

AWS Bedrock — United States🇺🇸

Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; wallets; deposit available.

Zero data retention: On by default on Pay-as-you-go. Derived from the logging and moderation facts.
Training: No training on customer data.
Logging: None
Moderation: Not established
Caching: Not established
Subprocessor access: Not established
no-KYC deposit: deposit available
Transfer mechanism: wallets

DigitalOcean — United States🇺🇸

Zero data retention is not on by default — a moderation hold applies. No training on customer data. US; dpf sccs; deposit available.

Zero data retention: Not by default — a moderation hold applies. Derived from the logging and moderation facts.
Training: No training on customer data.
Logging: None
Moderation: Holds content for review
Caching: Content cached for replay
Subprocessor access: No subprocessor reads content
no-KYC deposit: deposit available
Transfer mechanism: dpf sccs

Get started

Call Nemotron Nano 12B VL through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.QYN_API_KEY,
5  baseURL: "https://api.qyn.io/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "aws/nemotron-nano-12b-v2-vl",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);