Name: 關於 M4 MacBook Air 內存升級的真相 (TRUTH about M4 MacBook Air RAM UPGRADES)
Uploaded: 2025-05-14T13:02:11.000Z
Duration: 19 min 35 s

About a year ago, I said the M3 MacBook Air was like the MacBook Pro Mini.

大約一年前，我曾說 M3 MacBook Air 就像 MacBook Pro Mini。

程度副詞

And that's because I tested it with software developer tasks for a whole week, and it did pretty well.

這是因為我用軟件開發人員的任務對它進行了整整一週的測試，結果相當不錯。

This year, not only do we have the new processor in there, but it also goes up to 32 gigs of memory.

今年，我們不僅採用了新的處理器，內存也增加到了 32 G。

I've been using this for a little while now, for a few weeks.

我已經用了一段時間，有幾個星期了。

The 32 gigabyte version is even better for professional software developer use cases.

32GB 版本更適合專業軟件開發人員使用。

Under $1,000 for the 16 gigabyte one and $15.99 for the 32 gigabyte version.

16GB 版本不到 1,000 美元，32GB 版本為 15.99 美元。

Ah, should you choose to spend that extra money on the 32 gig version?

那麼，您是否應該多花點錢購買 32GB 版本呢？

Well, I hope to answer that question today.

I'm going to throw a bunch of software developer tasks at it, and we'll see where the 16 gigabyte version starts to buckle.

我將向它投入大量的軟件開發任務，看看 16GB 版本從哪裡開始出現問題。

我要做一些與 CPU 有關的事情。

I'm going to do some memory related stuff.

我要做一些與記憶有關的事情。

And I kind of want to simulate a realistic workflow, maybe not realistic for everybody, but I'm going to load up the systems a little bit because we're not just going to have one program open as software developers.

我想模擬一個現實的工作流程，也許對每個人來說都不現實，但我要把系統加載得更多一些，因為作為軟件開發人員，我們不會只打開一個程序。

I've got Windows running as a virtual machine using Parallels.

我使用 Parallels 將 Windows 作為虛擬機運行。

By the way, I have several videos on how to do that.

順便說一下，我有幾段關於如何做到這一點的視頻。

Windows is allocated eight gigabytes of memory and four cores of the CPU.

Windows 可分配 8 千兆字節內存和 4 個 CPU 內核。

是以，這款 Windows 也毫不遜色。

Even though it's a virtual machine, it's very capable.

儘管它是一個虛擬機，但功能非常強大。

看看瀏覽器出現的速度有多快。

And by the way, these are brand new installations of these.

順便說一句，這些都是全新安裝的。

And that's because while I do use a Windows virtual environment on my daily driver, which is the M4 Max MacBook Pro, that Windows instance is about 130 gigabytes by itself.

這是因為，雖然我在我的日常驅動程序 M4 Max MacBook Pro 上使用 Windows 虛擬環境，但該 Windows 實例本身就有約 130 千兆字節。

And that's the one downside to both of these is while they have enough memory now, there's just not enough space after doing all my installations of all the software.

這兩個軟件的一個缺點是，雖然它們現在有足夠的內存，但在我安裝了所有軟件後，空間就不夠用了。

I have 26 gigabytes left on the base model MacBook Air, and that's just not enough.

我的 MacBook Air 基本型號還剩 26GB ，這根本不夠用。

Now, the ports on these are Thunderbolt 4 now, which means that you can actually hook up a pretty fast drive to it and do file transfers.

現在，這些設備上的端口都是 Thunderbolt 4，這意味著你實際上可以將速度相當快的硬盤連接到它上並進行文件傳輸。

This MacBook Air comes with 512, so we've got a lot more room.

這臺 MacBook Air 配備了 512 個處理器，是以空間更大。

And that's the minimum that I recommend using.

Let's pop open Firefox inside Ubuntu and see what happens here.

讓我們打開 Ubuntu 中的火狐瀏覽器，看看會發生什麼。

Wow, I forgot that Firefox started asking all these questions now at the beginning.

哇，我都忘了 Firefox 從一開始就問這些問題了。

You might start to notice a little bit of a difference here.

你可能會開始注意到這裡的一點不同。

It's quite usable, but the programs open up just a little bit faster on this machine on the right in a virtual machine.

在虛擬機中，右邊這臺機器的程序打開速度更快一些。

So it's still crazy to think that everything works so well inside a virtual machine.

是以，在虛擬機中一切都運行得如此之好，還是令人難以置信。

Let's take a look at the memory usage here.

讓我們來看看這裡的內存使用情況。

Even though I have Windows running, even though I have Notion running and Todoist and Terminal open, as well as the host machine's Chrome browser with a bunch of what is that?

儘管我運行的是 Windows，儘管我運行的是 Notion，打開的是 Todoist 和 Terminal，主機的 Chrome 瀏覽器上也有一堆什麼東西？

And I'm watching a video inside of a virtual machine.

We're just now starting to get a little bit into the orange here on the left on the 16 gigabyte machine.

在 16GB 機器的左側，我們剛剛開始看到一點橙色。

We've got 23 gigabytes used, but memory pressure is fine.

我們使用了 23 千兆字節，但內存壓力不大。

Now, the swap memory is about the same on both of them, about a gig.

現在，兩者的交換內存差不多，都是一千兆左右。

I'm going to continue this and let's pop open VS Code.

In fact, I'm going to do this from the terminal because it's just easier to see the difference.

事實上，我打算在終端上進行操作，因為這樣更容易看出區別。

The machine on the left popped this open faster.

Now, VS Code is already open and cached, but let's just see.

現在，VS Code 已經打開並緩存，但我們還是先看看再說。

OK, the machine on the right opened that faster.

好的，右邊的機器打開得更快。

And just going through these files one by one, opening them up real quick.

然後逐個瀏覽這些文件，快速打開它們。

I don't notice any lag on either one of these.

我沒有注意到這兩個系統有任何延遲。

We are showing orange memory pressure on the machine on the left.

我們在左邊的機器上顯示的是橙色內存壓力。

And I've actually demonstrated this with an eight gigabyte machine a couple of times showing how good memory management is with Mac OS.

實際上，我已經用一臺 8GB 的機器演示過好幾次，說明 Mac OS 的內存管理有多好。

Whatever is in the background is doing a good job keeping that at bay, not interfering with the stuff that you need immediately.

無論後臺是什麼，都能很好地將其阻擋在外，而不會干擾你立即需要的東西。

I'm going to pop open Xcode and we'll see how long that takes.

我現在打開 Xcode，看看需要多長時間。

Obviously, it opened up much faster over there than on the left.

很明顯，那邊比左邊開得快得多。

讓我們在這裡創建一個新項目。

And you can see as I go, how long things take.

你可以看到，我的工作需要多長時間。

A little bit of a lag on the left, but we got a lot of stuff going on right now at this point.

左邊有點滯後，但我們現在有很多事情要做。

But are you going to be way more comfortable and faster with the machine on the right?

但使用右邊的機器是否會更舒適、更快速？

And if that's all you wanted to know, this 32 gigabyte machine is going to be faster at things, have more room for you to move around quicker.

如果這就是你想知道的一切，那麼這臺 32GB 的機器處理事情的速度會更快，空間會更大，你可以更快地四處走動。

Well, let's run this Xcode project that I just created.

好了，讓我們運行我剛剛創建的 Xcode 項目。

Xcode 針對 Mac OS 進行了高度優化。

So this is going to run pretty well on both machines, even though it is going to run a little bit faster on the machine on the right with more memory there.

是以，在兩臺機器上都能很好地運行，儘管在右側內存更大的機器上運行速度會更快一些。

And for those people that are developing cross-platform applications or strictly Android applications?

對於那些開發跨平臺應用程序或嚴格意義上的 Android 應用程序的人來說呢？