Apple is leaning more heavily on Nvidia GPUs after its in-house M2 Ultra chip reportedly failed to deliver the performance needed for advanced AI workloads. According to Coin Bureau, the company had tried to run Google’s Gemini model on its own servers to power AI features for a new version of Siri, but the chip did not meet requirements. Apple ultimately shifted to Nvidia GPUs deployed on Google Cloud for that work.
The report also says Apple is facing delays with “Baltra,” its next-generation AI server chip. Separately, the M7 Ultra chip, which is expected to potentially challenge the performance of Nvidia’s Blackwell architecture, may not arrive until 2029 at the earliest. The development points to continued pressure on Apple’s in-house AI hardware roadmap as it builds out infrastructure for larger model workloads and consumer-facing AI products.
Apple is turning to Nvidia GPUs to support its artificial intelligence business after its in-house M2 Ultra chip reportedly underperformed on advanced AI workloads.
According to Coin Bureau, Apple had previously tried to use its own servers to run Google’s Gemini model for AI features in a new version of Siri. The report says the company’s chip could not meet performance requirements, leading Apple to switch to Nvidia GPUs deployed on Google Cloud.
The report also says development of Apple’s next-generation AI server chip, Baltra, has been delayed. Meanwhile, the M7 Ultra chip, which is expected to be capable of challenging the performance of Nvidia’s Blackwell architecture, may not launch until 2029 at the earliest.
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