五角大楼选用阿贡国家实验室衍生公司,以连接军用超级计算机与主流云平台。
Pentagon Taps Argonne Spinout To Connect Military Supercomputers With Major Clouds

原始链接: https://www.zerohedge.com/military/pentagon-taps-argonne-spinout-connect-military-supercomputers-major-clouds

美国国防部(DoD)已授予 Parallel Works 一份合同,旨在将其 ACTIVATE 高安全平台(HSP)整合进军方的“高性能计算现代化计划”。该计划建立了一个统一的接口,将国防超级计算资源中心与 AWS、微软 Azure、谷歌云及甲骨文等安全商业云服务提供商相连接。 该平台旨在满足严苛的 5 级影响(IL5)安全标准,获准处理包括国际武器贸易条例(ITAR)限制数据及受控非机密信息在内的敏感数据。作为一套安全控制平面,该系统使国防部的科学家和工程师能够实现人工智能(AI)与高性能计算(HPC)工作负载在本地超级计算机与可扩展云环境之间的无缝迁移。 这一转变旨在克服传统基础设施的容量限制,提供按需分配的计算能力,从而消除传统的排队延迟。美国海军研究实验室目前已在使用该平台,以实现复杂天气预报工作流的自动化与加速。归根结底,此次合作提供了一个灵活且安全的下一代国防技术测试场,确保国防部能够快速部署数据密集型 AI 模型与模拟,以满足现代任务需求。

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原文

Authored by Neetika Walter via Interesting Engineering,

The U.S. Department of Defense (DoD) has awarded Parallel Works, an Illinois-based software company spun out of Argonne National Laboratory, a contract to provide a unified platform that connects military supercomputing centers with secure commercial cloud infrastructure.

Representative stock image of a supercomputer. iStock Photos

The contract, granted under the department's High Performance Computing Modernization Program (HPCMP), will allow scientists, engineers, and acquisition professionals across the DoD to access both on-premises and cloud-based computing resources through a single interface. The goal is to speed up the development and deployment of high-performance computing (HPC) and artificial intelligence (AI) workloads used for defense research and operations.

Parallel Works said its ACTIVATE High Security Platform (HSP) will act as the control plane linking Defense Supercomputing Resource Centers (DSRCs) with commercial cloud services. The platform is designed to let users move workloads across environments while maintaining security requirements for sensitive data.

The company said researchers will be able to test and deploy workloads on emerging cloud infrastructure before those capabilities are integrated into the DoD's supercomputing centers.

Connecting Defense Computing

The platform has been approved at Impact Level 5 (IL5), one of the highest security classifications for non-classified DoD cloud environments. According to the company, it is among a small number of software platforms approved to handle export-controlled workloads, including International Traffic in Arms Regulations (ITAR) and Controlled Unclassified Information (CUI).

The system is intended to address growing demand for computing power driven by AI development, simulation workloads, and digital modernization programs across the military.

"AI-driven warfare and the ramp to digital modernization are demanding far more model-sharing options than legacy infrastructure can provide," said Keith Obenschain, Chief Technology Officer at HPCMP.

The platform offers on-demand access to cloud compute resources, allowing users to avoid traditional queue delays associated with shared supercomputing systems. It also enables organizations to expand computing capacity by distributing workloads across multiple environments and cloud providers.

Parallel Works said users will have access to cloud infrastructure from providers including Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud.

Accelerating Mission Deployment

As part of the contract rollout, the Naval Research Laboratory has already implemented the platform to support weather forecasting workloads.

According to the company, the system automates forecasting workflows while securely coordinating computing resources across defense and cloud environments. The approach is intended to improve reliability, speed up processing, and help redistribute workloads when demand spikes.

"The HPCMP contract allows our platform to support a broad range of mission-critical HPC and AI workloads across the DOD teams," said Matthew Shaxted, CEO of Parallel Works.

The company said the environment can also serve as a secure testing ground for AI development tools and next-generation cloud architectures before they are adopted within the DoD's existing supercomputing infrastructure.

The contract reflects a broader push by the U.S. military to combine traditional supercomputing resources with commercial cloud services as AI models and data-intensive applications continue to increase computing requirements across defense operations.

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