Qualcomm has announced plans to launch processors designed for data centers to support AI operations.

These new processors will connect to Nvidia’s GPUs and software, essential for training large AI models used in applications such as chatbots.

This move marks Qualcomm’s return to the data center market, supported by its 2021 acquisition of Nuvia, an Arm-based processor company.

By targeting Nvidia’s ecosystem, Qualcomm aims to compete with Intel, AMD, and custom CPUs from Amazon and Microsoft in the AI data center space.

Under CEO Cristiano Amon, Qualcomm is expanding beyond smartphones into chips for PCs and cars, with a new AI-enabled PC chip set for launch in September 2025.

🔗 Source: CNBC

🧠 Food for thought

1️⃣ Qualcomm’s data center re-entry marks a dramatic strategic reversal after previous market exit

Qualcomm’s announcement represents a significant comeback after their complete withdrawal from the data center market in 2018, when they laid off 269 employees and reduced their data center division from 1,000 to just 50 staff members 1.

Their previous flagship product, the ARM-based Centriq 2400 server chip launched in 2017, failed to gain traction against Intel’s dominance despite initial optimism 2.

The company’s earlier retreat occurred amid multiple challenges, including legal battles with Apple and a failed $44 billion acquisition attempt by Broadcom that diverted resources and attention 3.

This re-entry leverages their 2021 acquisition of Nuvia, which provides them with specialized ARM-based CPU design capabilities that weren’t available during their previous attempt 4.

The timing aligns with growing market projections, as the data center CPU market is forecast to expand from $14.16 billion in 2025 to $30.08 billion by 2035, driven by demand for high-performance computing in AI and cloud services 5.

2️⃣ Nvidia partnership signals a pragmatic ecosystem approach versus previous standalone strategy

Qualcomm’s decision to create CPUs that specifically link to Nvidia’s GPUs represents a fundamental strategic shift from their previous independent approach with Centriq 4.

This ecosystem-focused strategy acknowledges Nvidia’s entrenched position in AI training infrastructure, where linking to Nvidia’s software stack has become essential for market relevance 4.