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LATEST: Apple is relying on Nvidia after its M2 Ultra chips fell short for advanced AI workloads, per The Information.

Apple discovered that its M2 Ultra chips could not efficiently run advanced artificial intelligence (AI) workloads and is now turning to Nvidia's graphics processing units (GPUs) to provide the required performance.

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What happened

Apple discovered that its M2 Ultra chips could not efficiently run advanced artificial intelligence (AI) workloads and is now turning to Nvidia's graphics processing units (GPUs) to provide the required performance.

Confirmed

Global impact / market context

Relying on Nvidia hardware signals a shift in Apple’s chip strategy, potentially increasing Nvidia’s sales while adding cost and supply‑chain complexity for Apple, which could affect product pricing and margins.

Confirmed

The tech industry is in a rapid AI arms race, with companies seeking ever‑more powerful processors. Chip shortages and high demand for AI‑ready silicon have heightened competition between Apple, Nvidia, and other chip makers.

Confirmed

What to watch

  1. Apple’s future device pricing may rise if Nvidia GPUs add cost, influencing consumer demand and Apple’s profit margins. Analyst inference
  2. Nvidia’s revenue could receive a boost from a large Apple contract, potentially lifting its stock and attracting more investor interest. Analyst inference
  3. Supply‑chain timing for Nvidia GPUs will be critical; any delays could impact Apple’s product launch schedules and market share in AI‑focused devices. Analyst inference

Evidence