Apple Eyes Chip Startups to Fortify AI Server Capabilities, Report Says

Apple Inc. is actively exploring acquisitions of semiconductor startups to bolster its artificial intelligence server infrastructure, according to a recent report from *The Information*. The move signals an aggressive push by the iPhone maker to close the performance gap with competitors in the rapidly advancing AI sector.

Strategic Push for AI Horsepower

Apple's exploration into the chip market is driven by a need to enhance its data center capabilities. While the company currently uses its in-house M2 Ultra chips for some AI server tasks, it has reportedly encountered performance limitations that necessitate outsourcing more intensive workloads, the report states.

For complex operations, such as running a version of Google's Gemini model to power its next-generation Siri, Apple has been relying on Google Cloud's infrastructure, which is powered by Nvidia chips. This dependency is compounded by a reported delay in Apple's own next-generation AI server chip, code-named "Baltra," which was originally slated for a debut this year, according to sources cited by the publication.

Revisiting a Proven M&A Playbook

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Historically, Apple has favored acquiring smaller tech startups, but this potential shift toward more significant chip acquisitions mirrors a foundational moment in its history. The company's dominant position in custom silicon began with its $278 million purchase of chip designer PA Semi in 2008, which laid the groundwork for its A-series processors in the iPhone.

More recently, Apple has shown a willingness to make larger deals to secure critical technology. Key examples include:

• The January acquisition of Q.ai, an Israeli startup focused on interpreting speech through facial micro-movements, for nearly $2 billion.
• Its largest-ever acquisition remains the $3 billion buyout of Beats Electronics in 2014.

By engaging with investment bankers and semiconductor startups, Apple appears to be replicating the strategy that led to its mobile processing dominance, now aiming it at the high-stakes AI server market.