Mac mini

This is 100% ON PURPOSE. And so is putting the Mac Mini power button on the BOTTOM of the thing. There is someone at Apple that WANTS people to burn. Like the mouse is amazing, scrolling is amazing, gestures are amazing, but you can't even hold it properly because it's so fucking.. idk.. what's the

You don’t need all that CPU power just for app testing. Just buy some Mac Mini. Upgrade with maximum RAM for fortune use, that’s more important than CPU speed. The M4 is already rocket fast! 🚀

I was holding on to my gaming pc for so long but Windows has become utter trash now and because I only really play Cyberpunk2077, Minecraft, Nier, etc I’ll be just as happy with an M4 Mac Mini. Microsoft forcing AI into everything has just ruined the experience along side Windows being spyware now.

My M4 MacBook Pro (standard 10 core) 24GB/1TB rendered the same AfterEffects project in exactly half the time as the M1 Mac Mini (standard 8 core) 16GB/1TB in my own tests.

We’re on monthly billing with Google Cloud. I maxed out most of the specs on the Mac mini but I don’t think I ended up needing to. I wasn’t sure what the hardware requirements would end up being so I erred on the side of over-provisioning: M4 Pro chip with 14‑core CPU, 20‑core GPU, 16-core Neural En

Yes. No question about it. I was a Windows user for over three decades but switched to a Mac mini m4 and was blown away by the performance of Apple Silicone Silicon. It blows Intel/AMD chips out of the water, and I’m not even exaggerating. You can run Windows in a VM if you still need access to some

I run plex on a Mac Mini M4 and all my media is on the UNAS Pro. 24TB Exos drives. It’s a base model Mac Mini with a 1Gb connection. I can stream MASSIVE bitrate movies to my Apple TV with no issues whatsoever. Your plan will work.

It's definitely hurting PCs. My M1 Max MacBook Pro 64gb was literally cheaper, by 30-50%, than an equivalent GPU setup workstation for data science applications (I needed to load 48GB of data into memory and use both CPU and GPU-based data science libraries). For gaming, I don't think anything comes

Related story: his first Linux challenge is exactly why, when I bought a Steam Deck OLED (it's so fucking good wow), I told myself that was Linux enough for me, especially because [Fortune 250 company I work for] paid for my Windows laptop anyway on a lease-to-own. Around January last year, I bought

Sure! - M4 Pro chip with 14‑core CPU, 20‑core GPU, 16-core Neural Engine- 64 GB unified memory (probably could have gotten away with 48)- 1 TB SSD storage (probably could have gotten away with 512)- Gigabit Ethernet Price: $2,399 new Last 1 week energy usage: 908Wh @ $0.35/kWh = $16.53 per year in e