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Laptops · Apple MacBook Air

Apple MacBook Air M2, 8GB RAM

9owners with an opinion
83%of verdicts positive
3/0positive/negative since 2024
3.5 yrslongest happy owner
1happy after 3+ years

Praised for performance and value.

What people wrote

Likes itOwned 3.5 yearsStill going
I have an M2 MacBook Air with 8GB of RAM that I bought three and half years ago. For browsing the web, listening to music, watching TV and movies, using Gmail, Google Sheets, Google Docs, etc., it's still perfectly fine. OTOH, for my development Mac, I have 64GB of RAM. (Though 32GB would probably be fine.)
Likes it
I have a MacBook Air M2 with 24 GB RAM and I run these two Qwen model variations successfully. Try them yourself: * https://huggingface.co/Youssofal/Ternary-Bonsai-2-27B-MTPLX-... * https://huggingface.co/gbuzhf/Ornith-1.5-35B-MTP-UD-APEX-GGU... So far just testing them for fun in LM Studio. I'm not a coder, so I'm testing them more on logic and language tasks. But yes, I do have a Mac Studio M3 Ultra with 96 GB RAM where I run the less quantised versions of these for higher quality results: * https://huggingface.co/Youssofal/Qwen3.8-27B-MTPLX-Optimized... * https://huggingface.co/mlx-works/Ornith-1.5-35B-A3B-oQ4e-mtp
Neutral
I have this exact build of MacBook Air and in day to day use browsing the web, doing some light coding, and connecting to Kubernetes clusters hosted in the cloud, I don't really notice. There is definitely some disk swapping occurring but you don't really notice it in small amounts due to how fast the SSDs are. Would I recommend the 8GB of RAM to someone who wants to use it as their primary development machine or for heavy photo editing, absolutely not. Would I say it's OK for casual use, yes. Do I think Apple is being stingy considering their incremental cost for an extra 4GB or 8GB of RAM in the base model would be tiny, yes.
Recommends it
I didn’t take a year fully off but last year was slow in my consulting work so I did a deep dive on the emerging LLM area. One recommendation - get a beefy Mac laptop so you can run LLM’s locally. I got an M2 with 96G RAM. Makes a huge difference to your thinking about LLM’s when you can run your own and integrated it with little tasks here and there for experimenting. Else I find most people think only of centralized closed LLM’s when they think of what’s possible. Severely limiting. /r/LocalLlama on Reddit is a great community. Other than that check out llama.cpp and ggml.cpp and the whole ecosystem around that. Cheers and good luck. Ping me on DM if you want more pointers.
Neutral
Loading time is not an issue for me. I run tmux so my sessions stay alive and performance is very quick. M2 MacBook Air with 16GB RAM, using Warp terminal. Using OMZ with Dracula Theme and mosh for remote servers.
Likes it
Unfortunately a 13B model quantized down to even 2 or 3 bits won't fit into 8gb of ram. You might have to settle for 7B models. I'm currently getting great results out of the Mistral-Openorca-7B model. At 5 bits it's using about 5.5gb of ram and running at 14 tokens/sec on my M2 MacBook Air (24GB ram, but in theory would work on 8gb if MacOS will allow you to allocate that much ram to the GPU). As a quick test, forcing it into CPU mode, I'm still getting 11 tokens/sec. It does seem to take about 2-3 times longer to initialize itself and get into the "ready state" when using the CPU, however.
Likes it
When I got Amazoned a couple of months ago and didn’t have a personal computer at all, a side contract fell into my lap where I billed $150/hour. (Don’t cry for me. I found a full time job 3 weeks later). I recouped the cost of the M2 MacBook Air 24GB RAM/1TB in less than 15 hours worth of work - taking my after tax rate into account. My work was not compute intensive so the Air was fine. But I would definitely pay for a 30% improvement at that bill rate.
Doesn’t like it
They have to be REALLY careful. I have a MacBook Air with 8GB of RAM and an M1 for personal use, work insisted on getting a 16" MacBook Pro M2 with 32GB of RAM and it's completely wasted. There is zero reason for me to have anything but the cheapest MacBook Pro/Air, in fact the smaller screen size mean I'm more likely to use it outside the office, meaning I get more use from it. I'm not allow to use it without a monitor an keyboard most of the time anyway, so for most hours of the day the screen size isn't important. For Go, Python, shell scripting and admin tasks the M1 Air is perfectly fine and if they made a cheaper version that would probably cover most/all of my home usage.
Doesn’t like itDoesn’t say they own it
Two of them is file cache, which still leaves with the base os consuming 2.71 GB ram out of 8, but it's never exactly eight... it's always a little less. So basically an 8GB laptop is really a 6GB laptop. Yikes. Also, it's already using ~540mb of swap memory... Swap usage will kill the flash chip pretty fast. Besides everything, this will generate an incredible amount of e-waste.