Thought Leadership Blogs

From AI That Answers to AI That Acts

Why physical AI requires a new definition of performance – one built around the whole system, not peak compute.

Building Infrastructure for an AI World in Motion

The biggest risk is not choosing the wrong technology today. It is building infrastructure that cannot adapt tomorrow.

From LEAP 2026 to What Comes Next: Advancing AI Across the Middle East

At the event in Saudi Arabia, AMD’s role helping governments, enterprises and partners build open AI infrastructure and turn investments into measurable business and economic value was on display.

The Data Center Math has Changed

Run more work on fewer servers to reduce power, space and licensing costs while creating capacity for what comes next.

Empowering the Next Generation: AMD Learning Labs in Action

Scaling Impact: 2025-26 Corporate Responsibility Report

↗ Agentic AI Isn’t One Workload. It’s an End-to-End Workflow.

As agentic AI becomes more pervasive, infrastructure teams need more than a single compute profile. CIOs and enterprise decision-makers need a portfolio of CPUs matched to the full agentic workflow.

↗ Agentic AI Needs Rack-Scale CPU Performance – AMD EPYC Delivers It Today

Agentic AI infrastructure should be planned at the rack level, not around isolated component claims.

↗ Agentic AI Changes the CPU/GPU Equation

Agentic AI is driving demand for new racks of CPU servers that sit alongside GPU infrastructure and run to power the work of all these agents.

↗ AMD in Space: Proven Compute for Lunar Missions

AMD is helping power the shift from short-duration missions to sustained lunar presence and deep-space exploration, delivering the compute that enables the next era of exploration.