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 Opper gateway.

Where is Nemotron Nano 12B VL hosted?

Nemotron Nano 12B VL runs on US hosting routes through the Opper 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 GDPR DPA available for Nemotron Nano 12B VL?

Yes. A GDPR Data Processing Agreement is available on at least one route serving Nemotron Nano 12B VL. Contact hello@opper.ai 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
GDPR DPA available

Available routes

Nemotron Nano 12B VL runs on 1 route through the Opper gateway. Compare residency, ZDR, 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

Training posture across routes: No training on prompts by default.

Data handling per route

Each route hosting Nemotron Nano 12B VL has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper 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; SCCs; DPA available.

Zero data retention: On by default on Pay-as-you-go.
Training: No training on customer data.
Logging: None
Third-party access: None disclosed
GDPR DPA: DPA available
Transfer mechanism: SCCs

Get started

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

Set it up with your agent

Copy this and paste it into your coding agent — Claude Code, Cursor, Codex, and more — and it'll wire up Opper for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/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);