AMD and HUMAIN Invested $10 Billion in AI Infrastructure
The firms have launched a new cross-border partnership to scale AI computing capacity.
Updated on Oct. 1, 2026 in Data Centers
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AMD and HUMAIN have announced a $10 billion investment to build an expansive AI infrastructure ecosystem across Saudi Arabia and the United States. The collaboration aims to create an open and cost-efficient platform for large-scale artificial intelligence development.
Why it matters
The project seeks to establish a scalable framework for AI workloads by integrating advanced compute hardware with robust, sustainable data center construction. By utilizing open software ecosystems, the initiative aims to reduce infrastructure barriers for global AI deployment.
The partnership plans to deploy 500 MW of AMD-based computing capacity using the ROCm open software ecosystem. Additionally, a new 100 MW data center project is underway at Oxagon, which is planned to be part of a larger 360 MW facility.
The players
AMD
This multinational semiconductor company designs and produces high-performance processors and AI compute portfolios.
HUMAIN
This company, backed by the Saudi Public Investment Fund, manages hyperscale data center delivery and sustainable power systems.
DataVolt
This firm specializes in the development and operation of high-capacity data center facilities and related infrastructure.
The details
The Saudi PIF-backed company HUMAIN will oversee the delivery of hyperscale data centers, global fibre interconnects, and sustainable power systems to support the new capacity. Alongside this, HUMAIN has partnered with DataVolt to specifically develop the project infrastructure located at Oxagon in the NEOM region.
Timeline
The companies expect to deploy 500 MW of AI computing capacity over the next five years.
The Tech Race
This investment follows the industry-wide push to reduce dependency on closed-source hardware by utilizing the AMD ROCm open software ecosystem. By building dedicated infrastructure, the companies are positioning themselves to compete with existing proprietary hyperscale models.
The development of more accessible, cost-efficient AI infrastructure may lower the threshold for developers and businesses to access high-performance computing power. These improvements in capacity could eventually lead to faster deployment times for commercial AI applications used by consumers.
The takeaway
The $10 billion investment highlights a significant shift toward prioritizing open-source AI infrastructure in the Middle East and the U.S. This model emphasizes the importance of building sustainable power and connectivity alongside high-end processing hardware.
Further reading
For more on the current expansion of global server capacity, visit our Data Centers section.
Live Poll
Do you support large-scale international partnerships for building national AI infrastructure?
