Apple Inc.Apple pitches its high-end Macs with unified-memory architecture as a local AI alternative to cloud infrastructure, running a trillion-parameter model on four Mac Studios.
Apple is making an unusually aggressive push into enterprise artificial intelligence, pitching its newest high-end Macs as an alternative to the expensive cloud infrastructure that has helped Nvidia and Microsoft dominate the AI boom. Apple says businesses can run increasingly sophisticated AI workloads locally on Macs instead of continually paying cloud providers or AI developers for computing capacity measured in tokens, with upgraded Mac mini and Mac Studio systems aimed at tasks including software development and complex business workflows, and some configurations approaching $20,000. At its latest launch event, the company connected four Mac Studios and used them to run a trillion-parameter AI model that identified and fixed a graphics coding problem, a workload that would ordinarily require data-center infrastructure, with the four-machine setup operating from a single wall outlet. Apple believes its unified-memory architecture and focus on power efficiency give Macs an advantage for running large models locally, and the same architecture can allow developers to move workloads across devices ranging from high-end Mac Studios to iPhones and iPads. But Apple is attacking from far behind: IDC estimates Macs hold only about 4.6% of the enterprise desktop market, compared with 91.3% for Microsoft Windows, while Nvidia remains dominant in data-center AI and is working with PC manufacturers to expand AI capabilities on Windows machines.
Apple Inc.Apple pitches its high-end Macs with unified-memory architecture as a local AI alternative to cloud infrastructure, running a trillion-parameter model on four Mac Studios.
Microsoft CorporationApple pitches local Mac AI as an alternative to Microsoft's cloud infrastructure, though Windows still holds 91.3% of the enterprise desktop market.
NVIDIA CorporationApple positions its Macs as an alternative to the expensive cloud infrastructure that helped Nvidia dominate the AI boom, though Nvidia remains dominant in data-center AI.
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