Позначка: Data Centers

Amazon’s Massive Investment in Government AI Infrastructure

Amazon is set to invest up to $50 billion in a significant expansion of its AI and advanced computing infrastructure, specifically tailored for U.S. government agencies.

This ambitious project, slated to begin in 2026, will dramatically increase Amazon Web Services’ (AWS) data center capacity across Top Secret, AWS Secret, and AWS GovCloud (US) regions – environments designed for handling classified and sensitive workloads.

Federal agencies will gain access to powerful AI tools, including Amazon SageMaker for custom model training and Amazon Bedrock for deploying and managing AI models, as well as building advanced agents.

The new centers will be equipped with Amazon’s proprietary Trainium AI chips, alongside NVIDIA hardware, enabling a substantial boost in computing power.

This investment aims to accelerate breakthroughs in government operations, spanning scientific research, intelligence analysis, and critical decision-making in areas such as disaster response and climate modeling. As stated by AWS CEO Matt Garman, “Our investment in purpose-built government AI and cloud infrastructure will fundamentally transform how federal agencies leverage supercomputing.” Amazon first introduced government-specific cloud infrastructure in 2011 and now supports over 11,000 government agencies worldwide.

Microsoft’s ‘Superfactory’: A New Era of AI Infrastructure

Microsoft has unveiled a groundbreaking approach to data center design and operation, dubbed its ‘superfactory,’ focused on facilitating the training and deployment of advanced artificial intelligence models. This innovative system links massive data centers across vast distances – in this case, Wisconsin and Atlanta, approximately 700 miles apart – via a high-speed fiber-optic network.

The ‘superfactory’ represents a shift from traditional cloud data centers, which cater to numerous separate applications, to a unified architecture specifically engineered for single, massive AI workloads. Each facility incorporates hundreds of thousands of Nvidia GPUs connected through an AI Wide Area Network (AI-WAN) for real-time sharing of computing tasks.

Microsoft’s new two-story data center design maximizes GPU density and minimizes latency, aided by a closed-loop liquid cooling system. By pooling computing capacity across multiple sites and dynamically redirecting workloads, the system distributes power requirements efficiently across the grid.

This interconnected infrastructure will be utilized to train and run next-generation AI models for key partners, including OpenAI, and Microsoft’s own internal models. This development highlights the intense competition among major tech companies to build the necessary infrastructure for the rapidly expanding field of artificial intelligence.