一周前，苹果低调发布了最新款 Mac Studio，提供 M3 Ultra 和 M4 Max 两种芯片选项。其中，M3 Ultra 版本搭载 32 核 CPU 和 80 核 GPU，最高支持 512GB 统一内存。官方宣称此版本可运行超过 6000 亿参数的 LLM，也就是在家就能跑满血版的 DeepSeek R1。 这引得不少人驻足围观，并产生了一些疑问：在 AI 大模型时代，买 Mac Stu ...

Apple’s forthcoming Mac Studio, slated for release in spring or early summer 2026, is set to establish new benchmarks in desktop computing. With the introduction of the M5 Max and M5 Ultra chips, this ...

芯片方面，2026 款 Mac Studio 预估将搭载 M5 Max 和 M5 Ultra 芯片。其中 M5 Max 芯片配备最高 18 核 CPU 和 40 核 GPU， 内存带宽达 614GB/s，专业性能较 M4 Max 提升约 30%。 更强悍的 M5 Ultra 芯片预计将拥有最高 36 核 CPU 和 80 核 GPU，由两枚 M5 Max 芯片拼接而成。

Mac Studio release moves from mid-2026 to October 2026 with the M5 Ultra chip expected, and supply constraints may cap early ...

Apple is working on an updated version of the Mac Studio that's expected at some point in 2026, and with supplies of existing machines running low, we thought we'd highlight what's next for Apple's ...

M5 Ultra Mac Studio drops in 2026. The M3 Ultra-equipped Mac Studio is among the most powerful Macs you can currently buy. Despite featuring faster cores, Apple indirectly confirmed it will not launch ...

New leaks reveal Apple’s M5 Mac Studio with major performance upgrades, a shifting release timeline, and rising prices. Here’s what we know so far. About a month ago, we knew Apple had a new Mac ...

How do these Macs match up? You might be surprised.

TL;DR: Apple plans to launch advanced Mac Studio systems powered by the high-end M5 Max and flagship M5 Ultra processors in 2026, featuring separate CPU and GPU blocks for customizable performance.

Apple doesn't release an "Ultra" variant for every Apple silicon chip, but the company is planning to debut an M5 Ultra chip in 2026, reports Bloomberg. The M5 Ultra is slated for the Mac Studio, and ...

Apple has largely written off the Mac Pro and does not plan to give its expandable desktop an upgrade in 2026, according to Mark Gurman, Bloomberg's Apple insider. The company now sees the Mac Studio ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...