LLM Reference
AWS Bedrock

Using Nemotron-Nano-12B-v2-VL on AWS Bedrock

Implementation guide · Nemotron Nano 2 · NVIDIA AI

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AWS Bedrock exposes Nemotron-Nano-12B-v2-VL through model ID nvidia.nemotron-nano-12b-v2. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at AWS Bedrock and generate an API key.
  2. 2
    Use the AWS Bedrock SDK or REST API to call nvidia.nemotron-nano-12b-v2 — see the documentation for request format.
  3. 3
    You'll be billed $0.20/1M input, $0.60/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install boto3
API key
AWS_ACCESS_KEY_ID
Model ID
nvidia.nemotron-nano-12b-v2

Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.

import boto3

# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="nvidia.nemotron-nano-12b-v2",
    messages=[{
        "role": "user",
        "content": [{"text": "Hello"}]
    }]
)
print(response["output"]["message"]["content"][0]["text"])

Pricing on AWS Bedrock

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.60

Capabilities

VisionMultimodalStructured Outputs

About Nemotron-Nano-12B-v2-VL

Nemotron-Nano-12B-v2-VL is NVIDIA AI's Nemotron Nano 2 model with multimodal text and image input. It was released 2025-10-28.

Full model details →

Model Specs

Released2025-10-28
Parameters12B
ArchitectureDecoder Only

Also available on(3)

OpenRouter$0.20/1MVercel AI Gateway$0.20/1MNVIDIA NIM
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Provider

AWS Bedrock
AWS Bedrock

Amazon Web Services

Seattle, Washington, United States