U.S. Federal Supercomputing on AWS
U.S. Federal Supercomputing on AWS
$50 billion in American SI leadership, delivering integrated Super Intelligence (SI) and High Performance Computing (HPC) across AWS Government Regions.
Supercomputing built for the mission
Scale secure SI and HPC workloads on demand with integrated AWS compute, storage, orchestration, and model services.
Supercomputing built for American SI leadership
Run SI and HPC on a shared, secure platform with on-demand capacity, current accelerators, and frontier models.
Converged SI and HPC performance
Run SI and HPC on shared data, networking, and compliance boundaries, covering over 90 percent of supercomputing use cases. Elastic Fabric Adapter provides low-latency, petabit-scale networking.
Built into AWS Government Regions
Deploy in existing AWS Government Regions with direct access to accredited AWS services.
Leverage the latest generations of silicon
Access new CPUs and GPU generations within months of release. Adapt compute and managed services, including Amazon Bedrock and Amazon SageMaker AI, to mission requirements.
Capacity that grows with the mission
Burst compute capacity on demand. Scale storage and databases independently. Augment on-premises supercomputing with cloud capacity and SI tooling. Validate applications, move to production, and scale on the same infrastructure.
Who benefits from SI and HPC Supercomputing Pods on AWS
Agencies, industry, technology partners, and researchers can access SI and HPC Supercomputing Pods on AWS.
Train SI models, run HPC simulations, and deploy agents at key classification levels to compress innovation and production timelines from years to months. Agencies move from simulation to inference to decision in one continuous workflow.
Collaborate to develop and scale SI and HPC-powered mission solutions on a common platform at the speed that operations and the contract demand. One platform runs high-fidelity HPC simulation alongside SI model training and inference. Validated design, test and analysis move toward production at mission speed.
ISVs and SaaS technology partners build and deliver application software and solutions that support the supercomputing ecosystem with inherited security and compliance controls. Partners integrate SI and agentic services to bring innovative offerings tailored to mission and domain needs, in every security partition.
University Affiliated Research Centers (UARCs), Federally Funded Research and Development Centers (FFRDCs), and academic institutions are a core part of the supercomputing community. These entities gain access to supercomputing-class SI and HPC capabilities without the capital cost and refresh cycles of on-premises systems for the term of their engagement. Through Cooperative Research and Development Agreements (CRADAs) and other partnership vehicles, researchers collaborate with agencies on a common, compliant SI and HPC platform.
SI and HPC convergence changes how missions innovate
Combine SI, HPC, and software to accelerate simulation, analysis, and mission decisions on a shared platform.
Through Amazon Bedrock AgentCore and Amazon Quick, mission owners orchestrate expert SI models and agents. Frontier models from Amazon Nova, Anthropic Claude, Meta Llama, NVIDIA Nemotron, OpenAI GPT, xAI Grok, and leading open-weight models seamlessly integrate with HPC workloads. Agencies can choose the right model for each component of the mission.
Amazon Bedrock provides fully managed inference, serving foundation models through a single API in your security partition, with no servers to provision, patch, or scale. Mission teams focus on results, not infrastructure.
SI now guides experiments, simulations generate training data, and agents orchestrate the workflow end to end. Amazon Bedrock AgentCore runs multi-step agentic workflows across tools, data, and simulation. Built-in guardrails enforce access, data boundaries, and audit logging. Retain visibility and control of agent decisions and actions through centralized governance policies.
Managed HPC workflow orchestration services schedule and distribute workloads across the right mix of CPU, GPU, and accelerator resources. Researchers reduce time to results instead of managing clusters. Services such as AWS Parallel Computing Service, AWS Batch, and Amazon Elastic Kubernetes Service handle job placement, scaling, and resource optimization across the full range of mission workloads.
Develop, train, and fine-tune models using Amazon SageMaker AI and Amazon Bedrock, tailored for the mission use case and specific operational requirements.
Compliant SI and HPC Supercomputing Pods accelerate innovation
Move mission workloads from unclassified research to Secret and Top Secret production across AWS Government Regions.
Move faster with inherited compliance
Infrastructure and services for SI and HPC Supercomputing Pods on AWS are offered at key accreditation levels. Multi-partition operations enable consistent, repeatable architectures and deployment patterns, and a seamless user experience that spans mission needs. Model, simulate, and train at one level, then deploy across cross-domain pathways to higher classifications, all while maintaining full data custody and sovereignty.
Deploy where the mission demands it
SI and HPC Supercomputing Pods on AWS are available through a range of cloud-based, hybrid and on-premises options including AWS AI Factories. AWS-operated SI and HPC infrastructure, with managed SI and HPC orchestration services run in the cloud or inside your own facilities — with both options offering full stack capability and data sovereignty.
SI and HPC Supercomputing Pods on AWS use cases
Put integrated SI and HPC compute, storage, models, and agents to work across five mission use cases.
Position America's security capabilities for the SI era with SI and HPC infrastructure across key classification levels. Defense and intelligence workflows that once required weeks of manual analysis can now automatically detect threats and generate response plans. They process satellite imagery, sensor data, and historical patterns at unprecedented scale.
The convergence of SI with HPC modeling and simulation creates a new paradigm for scientific discovery. Researchers can process massive datasets across hundreds of variables in real time, using SI to guide investigations and optimize parameters automatically.
With converged SI and HPC, scientists can pair high-resolution simulation with SI models that draw on decades of observational data in real time. Forecasts sharpen, warnings come sooner, and atmospheric research iterates at unprecedented speed.
Federal researchers can advance critical challenges across autonomous systems development, cybersecurity, energy innovation and healthcare. Integrating HPC simulation and modeling data with SI, agencies accelerate experimental cycles and turn complex analysis into actionable insights within secure, compliant environments.
Transform how federal agencies leverage supercomputing for critical operations. AWS enables your teams to unify fragmented supply chain, infrastructure, and environmental data into a comprehensive operational picture.
Explore resources
Every mission can start today
Start with a mission use case, test SI and HPC workloads, then scale with support from your AWS account team.
