As governments and large organizations look to scale AI projects, many are turning to the concept of an "AI factory" to meet unique sovereignty and compliance requirements. Building a high-performance AI factory, however, demands a complex combination of management, database, storage, and security services-challenges that most organizations prefer not to tackle themselves. To address this, AWS has launched AWS AI Factories, providing enterprises and governments with dedicated AI infrastructure deployed directly in their own data centers. The offering integrates the latest AI accelerators, including NVIDIA AI computing and Trainium chips, with high-speed networking, high-performance storage, databases, and energy-efficient infrastructure, alongside AI services such as Amazon Bedrock and Amazon SageMaker to enable rapid development and deployment of AI applications at scale.
Organizations in regulated industries and the public sector face significant hurdles when deploying large-scale AI initiatives. Building in-house AI capabilities requires substantial capital investment in GPUs, data centers, and power, in addition to navigating procurement cycles, selecting suitable AI models, and managing licensing from multiple AI providers. These challenges often result in multi-year timelines and operational complexity, diverting focus from core business objectives. AWS AI Factories tackle these obstacles by offering dedicated AI infrastructure operated exclusively for customers, functioning like a private AWS Region that ensures secure, low-latency access to compute, storage, databases, and AI services. This approach allows organizations to leverage existing data center space and power while accessing AWS AI infrastructure and managed services, all while meeting stringent security, data sovereignty, and regulatory requirements.
The collaboration between AWS and NVIDIA, which spans over 15 years, strengthens the deployment of advanced AI infrastructure. The integration enables customers to run large language models more efficiently, securely, and at scale within their own data centers. AWS AI Factories provide seamless access to NVIDIA accelerated computing platforms, full-stack AI software, and GPU-accelerated applications to enhance performance and scalability. The infrastructure supports NVIDIA Grace Blackwell and Vera Rubin platforms, with future support planned for NVIDIA NVLink Fusion interconnects in Trainium4 and Graviton chips. This combination accelerates time to market for AI solutions while optimizing data center performance.
