CoreWeave и Leidos создадут ИИ-облако для засекреченных объектов спецслужб США

CoreWeave and defense contractor Leidos announced a strategic partnership on July 30, 2026: CoreWeave's specialized GPU platform will be deployed inside classified facilities of American intelligence agencies and military structures. For a commercial GPU cloud — this is the first entry into the sector of classified computing, closed government-level computing.

Why an AI Cloud Needs a Security Clearance

CoreWeave — one of the largest specialized cloud GPU providers — earns revenue by renting computing power to leading AI companies. Clients include OpenAI and Microsoft: both organizations use CoreWeave infrastructure for training and inference of large language models. This business model has been proven in the commercial sector, and now CoreWeave is transferring it to a fundamentally different space.

US intelligence and military structures work with classified data in specially equipped isolated facilities. Using a standard public cloud to process classified data is legally prohibited: information must not leave a physically protected perimeter. At the same time, the need for GPU for AI tasks — analysis of intelligence data, computer vision, predictive modeling — among government structures is no less than among commercial technology companies.

Leidos serves as a key partner and enabler. The company — one of the largest IT contractors of the US Department of Defense with annual revenue exceeding $15 billion — already operates inside closed perimeters and holds all necessary clearances to manage sensitive government infrastructure.

What Will Change for the Defense AI Market

Before this partnership, classified structures had a limited number of options: build GPU infrastructure independently or use certified government clouds AWS GovCloud and Microsoft Azure Government. Both paths were characterized by high cost and lengthy deployment, and performance did not always meet the requirements of modern AI workloads.

"CoreWeave is about to launch the same cloud inside the closed facilities where

America keeps its secrets — with Leidos as the enabler," as TNW describes the partnership model.

Key facts from the joint announcement by the companies:

• The agreement was announced on July 30, 2026
• CoreWeave — specialized GPU cloud provider; clients include OpenAI and Microsoft
• Leidos — US defense IT contractor with revenue of more than $15 billion per year
• CoreWeave's AI platform will be deployed inside classified facilities under Leidos management
• Target customers — intelligence structures and the US Department of Defense

CoreWeave and Leidos offer a third path: a ready-made platform proven with commercial clients, featuring the latest GPU clusters — deployed directly inside the closed perimeter. This is potentially faster than building from scratch and more performant than general-purpose government clouds.

Why the Deal Matters for the Industry

CoreWeave's entry into the classified computing sector reflects a broader trend: GPU clusters, which just a few years ago were tools exclusively for large technology companies, are becoming in demand inside government closed facilities.

For CoreWeave — this is a strategically attractive market with large long-term contracts and a high entry barrier for competitors. Leidos sharply lowers this barrier: the company has already passed all necessary regulatory checks and has active contracts with leading American intelligence and defense structures. It is precisely on Leidos's expertise and active clearance that CoreWeave relies to operate inside protected perimeters, as reported by TNW. The combined IT infrastructure spending of American intelligence agencies amounts to tens of billions of dollars annually — making the market critically important for any GPU provider.

What This Means

The CoreWeave and Leidos partnership creates a precedent — a classified GPU cloud for AI workloads. If the model proves successful, it could become a template for other commercial AI providers seeking to enter the government classified computing market, and will accelerate AI adoption in American intelligence agencies and the Department of Defense.