NVIDIA Nemotron 3 Nano: Serverless AI on Amazon Bedrock

NVIDIA Nemotron 3 Nano: Serverless AI on Amazon Bedrock

NVIDIA Nemotron 3 Nano is now available on Amazon Bedrock as a fully managed, serverless model, enabling developers and enterprises to power generative AI applications without infrastructure complexities. This small language model (SLM) features a cutting-edge hybrid Mixture-of-Experts (MoE) architecture combined with Transformer and Mamba layers, delivering exceptional compute efficiency and accuracy. Nemotron 3 Nano is an open model, providing transparency through open-weights, datasets, and recipes, fostering trust and confident development.

Technically, Nemotron 3 Nano boasts a 30 billion parameter model with 3 billion active parameters and a substantial 256K context length, processing text input to generate text output. Its unique architecture balances efficiency, reasoning accuracy, and scalability. Mamba layers handle long-range sequence modeling with low memory, while Transformer layers provide precise attention for structured tasks like coding and math. MoE routing further optimizes latency and throughput by activating only relevant experts per token. This design makes it particularly suitable for agentic AI systems and concurrent, lightweight workflows.

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The model excels in coding, reasoning, scientific tasks, tool calling, and instruction following, outperforming similar-sized models on benchmarks such as SWE Bench Verified and AIME 2025. It offers leading accuracy with high efficiency, critical for the increasing token demand of agentic AI. Target use cases span finance (loan processing, fraud detection), cybersecurity (vulnerability triage, malware analysis), software development (code summarization), and retail (inventory optimization, personalized recommendations).

Developers can easily get started with Nemotron 3 Nano through the Amazon Bedrock console, AWS CLI, AWS SDKs (boto3), or the OpenAI SDK compatible API using the model ID `nvidia.nemotron-nano-3-30b`. Furthermore, its integration with Amazon Bedrock’s managed tools like Guardrails allows for enforcing responsible AI, content filtering, and PII redaction. Knowledge Bases automate Retrieval Augmented Generation (RAG) workflows, grounding responses with proprietary data. Nemotron 3 Nano is available across multiple AWS regions, including US East, US West, Asia Pacific, and Europe, facilitating broad deployment.

NVIDIA’s latest Nemotron 3 Nano model represents a significant advancement in ai automation nvidia technology, now accessible through Amazon Bedrock’s serverless infrastructure.

While ChatGPT automation NVIDIA solutions have dominated conversational AI, Amazon Bedrock’s new Nemotron 3 Nano offers compelling serverless alternatives.

(Source: https://aws.amazon.com/blogs/machine-learning/run-nvidia-nemotron-3-nano-as-a-fully-managed-serverless-model-on-amazon-bedrock/)

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