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Apple Weighs AI Server Comeback With Nvidia Technology

2 reports · First detected 2026-09-17 · Last active 2026-09-17

The artificial-intelligence boom is driving demand for data-center systems that can deliver high computing performance without excessive power consumption. Apple, which previously sold servers, is evaluating whether the efficiency of its in-house M-series processors could give it an opening in AI infrastructure. Strong interest in M-powered hardware among AI developers has added to the case for a return, potentially giving the iPhone maker another growth avenue beyond consumer devices.

Apple is considering re-entering the server market and may work with Nvidia as it develops systems aimed at AI workloads, according to media reports. The company is also weighing the use of NVIDIA NVLink, a high-speed interconnect technology designed to link processors in demanding computing environments. A product could appear as early as 2029, though no investment amount, technical specifications, production schedule or final partnership structure has been disclosed, leaving the plan subject to change.

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Apple Seeks Chipmaker Acquisition to Bolster AI Server Capabilitiesfirst seen 2026-07-16 · 3 reports · similarity 0.80 · same topic: Apple

Apple faces serious server-performance challenges as the generative AI market expands rapidly. Its current M2 Ultra chips have encountered technical bottlenecks when running large AI models, while plans for new chips have been delayed, leaving the company in urgent need of more powerful hardware. Apple has decided to accelerate development of its own AI server chips by acquiring a chip startup, seeking to reduce its reliance on Nvidia and Google chips and services.

Apple acquired AI startup Q.ai for about $2 billion in January 2026. The company has also tried running Google’s Gemini models on its servers this year to support a planned Siri upgrade. Reports that Apple is now seeking to acquire another chip company indicate that it is stepping up efforts to overcome bottlenecks in its internally developed hardware.

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