According to The Information (paywalled), Apple reportedly moved up the release of new Mac mini and Mac Studio models after unexpectedly strong enterprise demand for Macs capable of running AI workloads. MacRumors reports: Apple normally releases new Mac models in the autumn, closer to October or November, making this week's announcement unusually early, falling just before the anticipated arrival of new iPhone models. The Information says that the AI-driven boom in Mac Studio and Mac mini sales is behind the early launch. Apple noticeably promoted the ability to link multiple Mac Studios together into a single, more capable system for running large frontier AI models, a feature aimed at business and developer customers rather than everyday consumers. Apple highlighted the Mac mini and Mac Studio's shift toward business buyers in June, with a "Business at the Park" event involving executives from major companies Ford, Disney, and Anthropic. The Mac mini was said to be the "darling" of the event. Even so, enterprise's rush toward powerful desktop Macs more broadly took Apple by surprise. The company reportedly did not possess an engineering team dedicated to business customers or staff focused on developer relations, and lacked an enterprise AI strategy. Businesses that approached Apple asking to buy access to the company's Private Cloud Compute infrastructure were reportedly turned down. Apple is instead leaning on partners such as WebAI and Mount Thor, which provide AI tools and execution environments built on Apple hardware.Read more of this story at Slashdot.
Apple Caught Off Guard by AI Demand for Mac Mini and Mac Studio
Apple Inc. moved up the release of new Mac mini and Mac Studio models after unexpectedly strong enterprise demand for Macs capable of running AI workloads, according to The Information. The early launch, which came before the anticipated arrival of new iPhone models, was driven by an AI-driven boom in sales, with Apple promoting the ability to link multiple Mac Studios for running large frontier AI models. However, Apple was caught off guard by the enterprise rush, lacking a dedicated business engineering team, developer relations staff, and an enterprise AI strategy, and it reportedly turned down businesses seeking access to its Private Cloud Compute infrastructure, instead relying on partners such as WebAI and Mount Thor.
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