AWS brings NVIDIA Nemotron and OpenAI GPT OSS models to GovCloud for secure government AI workloads

Amazon Web Services expanded Amazon Bedrock's model selection in AWS GovCloud (US) with NVIDIA Nemotron and OpenAI GPT OSS models, providing government agencies access to frontier open-weight models within FedRAMP High and DoD-compliant infrastructure.

Models and specifications

The launch includes two model families. OpenAI's GPT OSS models consist of a 120-billion parameter variant for production and high-reasoning tasks, and a 20-billion parameter model optimized for lower latency. Both provide 128K-token context windows and generate up to 16K output tokens.

NVIDIA Nemotron 3 family includes four variants:

• Nemotron 3 Super 120B: 120 billion total parameters with mixture-of-experts architecture activating 12 billion parameters per token, claims 5x higher throughput than previous generation
• Nemotron 3 Nano 30B: 30 billion parameters activating approximately 3 billion per token, claims 4x higher throughput
• Nemotron 3 Nano 12B v2 and Nano 9B v2: smaller variants for efficient deployment

All Nemotron models support 1-million-token context windows.

Compliance and infrastructure

The models run on Amazon Bedrock's next-generation inference engine with zero operator access architecture. According to AWS, no operator from AWS, customers, or model providers can access inference prompts or completions. The infrastructure operates exclusively on U.S. soil, staffed by U.S. citizens.

AWS GovCloud (US) supports compliance frameworks including:

• FedRAMP High (Provisional Authority to Operate)
• DoD Cloud Computing Security Requirements Guide Impact Levels 2, 4, and 5
• International Traffic in Arms Regulations (ITAR)
• Criminal Justice Information Services (CJIS)

Deployment options

In-Region inference is available in us-gov-west-1 (AWS GovCloud US-West), keeping all requests within a single Region. Geographic Cross-Region inference routes requests across AWS GovCloud (US) Regions for higher throughput while maintaining data residency within the GovCloud boundary.

The service provides two API endpoints: bedrock-mantle offers OpenAI-compatible API access through the Chat Completions format, while bedrock-runtime uses AWS native Converse and InvokeModel APIs with Amazon Bedrock Guardrails integration.

Pricing and availability

AWS did not disclose pricing per million tokens. The models are available now in AWS GovCloud (US) Regions through Amazon Bedrock's serverless inference, requiring no GPU provisioning or infrastructure management.

What this means

This marks the first availability of OpenAI's open-weight models and NVIDIA's latest Nemotron family in a government-dedicated cloud environment. For defense and intelligence agencies, the combination of open-weight transparency, 1M+ token context windows, and FedRAMP High compliance enables AI deployment in classified environments previously restricted to on-premises systems. The zero operator access architecture addresses data sovereignty requirements while the serverless model eliminates the GPU procurement bottleneck that has slowed government AI adoption. Agencies now have a compliance-vetted path to deploy agentic workflows for intelligence synthesis, security log analysis, and contract review without custom infrastructure.