A supercomputer on your bookshelf
That’s an amazing statistic; it means you can run a powerful genAI models using DeepSeek on a system that fits on a shelf above your desk, which must be a compelling proposition to any enterprise purchaser considering deployment of an in-house self-hosted system for AI. It’s even more impressive when you consider that comparable performance on traditional PCs would require multiple GPUs and consume 10 times as much energy.
(You might be able to find some way to put together a PC-based cluster to deliver the same kind of performance, but it is arguable that you’ll still spend the $14,000 you’d need to drop to get the most powerful Mac desktop. (In some cases, you might not need quite as much of a system.)
What this all means — or should mean — is that the enterprise landscape is ripe for Apple. After all, the company’s devices are private by design, secure by nature, and deliver performance and energy consumption advantages other PCs at the same price points don’t match. Not only do they deliver this, but they also have the processor horsepower it takes to run AI natively.
