Scaling AI requires a unified framework that simplifies how organizations securely deploy, deliver, and operate AI-driven applications across hybrid and multicloud environments.
As complexity grows—from next-gen ADC requirements to managing data flows and model interactions—the F5 AI Reference Architecture provides a clear blueprint for planning, standardizing, and optimizing AI workloads.
Built on more than two decades of leadership in application delivery and security, and powered by the F5 Application Delivery & Security Platform, this architecture breaks AI systems into seven core building blocks to guide decisions around security, traffic management, and platform performance.
The most critical security risks in deploying and managing large language models and generative AI applications.
Key challenges in hybrid multicloud environments, offering solutions to reduce app delivery complexity.
Essential capabilities, technologies, and principles needed to overcome technical challenges for effective AI solutions.
The following architecture is designed to help you understand and plan around the risks and considerations for deploying AI applications at scale.
The future is powered by connected and distributed AI models.
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Secure hybrid multicloud connectivity for AI infrastructure ›
If you have questions regarding AI application deployments, F5 can help. Fill out this form and an F5 business development representative will be in contact to schedule time with your F5 technical account team and an AI global solution architect.
