Meta Partners with Arm to Power AI Recommendations Across Facebook and Instagram

Meta Platforms is partnering with chip tech provider Arm Holdings to power AI ranking and recommendation systems across its apps, including Facebook and Instagram. The partnership will use Arm-based data center platforms to improve performance and lower power use compared to x86 systems. Meta will invest $1.5 billion in a Texas data center to expand infrastructure for AI workloads. The companies are working together to adapt Meta's AI infrastructure software for Arm architectures and making the software improvements open source.

Meta Platforms, the parent company of Facebook and Instagram, has announced a strategic partnership with Arm Holdings to power its AI ranking and recommendation systems across its apps. The collaboration will utilize Arm-based data center platforms, marking a shift from the traditional x86 architecture used by Intel and AMD.

The partnership aims to improve performance and reduce power consumption compared to x86 systems. Meta will invest $1.5 billion in a Texas data center, its 29th facility globally, to support the growing AI workloads. This investment underscores Meta's commitment to expanding its infrastructure to meet the demands of its AI features.

Arm Holdings, backed by SoftBank, has been making inroads into the data center market with its power-efficient chip architecture. The company's technology is already prevalent in smartphones and is now expanding into personal computers and server CPUs.

Meta and Arm are working together to adapt Meta's AI infrastructure software for Arm architectures. The companies are releasing these software improvements as open source code, making it freely available to the public. This move aims to facilitate wider adoption of Arm-based systems and address compatibility barriers.

The partnership is a significant validation of Arm's technology for large-scale AI operations. It joins other major tech companies exploring alternatives to traditional x86 chip architecture, highlighting the growing importance of power efficiency in data centers.