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Apple’s $2,899 MacBook PROLED hides a massive unified memory bottleneck — why I think power users should abandon macOS for Nvidia RTX Spark and AMD Strix Halo

Apple’s $2,899 MacBook PROLED pairs a stunning screen with a 24GB bottleneck. Here is why local AI users get more value from AMD Strix Halo and RTX Spark.

Apple’s $2,899 MacBook PROLED hides a massive unified memory bottleneck — why I think power users should abandon macOS for Nvidia RTX Spark and AMD Strix Halo

Apple's new MacBook Pro PROLED XDR display is impressive, with flawless color calibration, a touchscreen interface, and up to 2,000 nits of peak brightness. However, what appears to be a step forward for the next generation of computing is, in reality, a $2,899 luxury item. The machine focuses more on aesthetics than powerful local AI capabilities.

The memory situation is a major concern, as Apple offers only 24GB of unified memory for the 14-inch PROLED MacBook Pro. The shortage of RAM is a result of enterprise data centers hoarding silicon, but for power users who plan to run local agentic AI directly on their hardware, this is a significant drawback. The 24GB of memory is essentially a multi-million dollar mansion with only one bathroom - it looks great on the outside, but it becomes a problem when you need to accommodate more users (or spin up a 70B parameter LLM on the hardware).

Meanwhile, the Windows ecosystem is quietly preparing for a value war. Microsoft's Surface Laptop Ultra, priced at $5,899, offers similar features to the MacBook Pro, but at a lower price point. For those inclined towards local AI, the Surface Laptop Ultra presents a more compelling option due to its better tokenomics compared to Apple's M5 Pro. The MSI Prestige N16 Flip AI+ and AMD Strix Halo chip also offer better value for money in the local AI space, with the latter boasting longer memory options at a lower cost.

Written by urgent.news from Tom's Guide's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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