Hacker News Reader

Comment by anuragsoni | Hacker News Reader

Knowing intel and PC manufacturers you most likely won't find this CPU in a laptop without a dedicated GPU. I gave up the last time I was looking for a new laptop (I ended up with a MacBook Air), but it was surprisingly hard to find a laptop that had a beefy CPU but no discrete GPU. Lenovo had a couple of think pads that had some offerings but they would make you jump to the intel CPU with vPRO and that would come with a huge price increase.

View on HN

Yeah - I think it's a question of what the different target markets are willing to pay.

A lot of people want gaming laptops, so systems with big GPUs and big CPUs and not so great size/weight/battery life can be had relatively cheap.

But most people that want big CPUs and good battery life but don't care about the GPU so much are people who need the system for their job, so manufacturers can get away with pricing those systems higher.

Out of curiosity what jobs need a good CPU but also can't take advantage of a good GPU?

It seems like most of the high performance numerical computing software today is GPU-accelerated. If performance for your job is super important, why isn't your software GPU-accelerated?

I might just be naive but it's honestly hard for me to imagine why anybody would need a good CPU and not also want a good GPU.

Because here in the real world software isn’t GPU optimized in many cases.

Since this is HN... compiling.

Good point, not sure how I didn't see that, I'm a software engineer too.

Compiling is IO/RAM bound. CPU has impact but not much for most cases.

Nah, I only see minimal difference when building on a ram disk (source tree copied there too) compared to a nvme SSD.

You clearly aren't writing c++ :D

Static code analysis on 100s of mb of code. Pins my m1max for 3min, my 2015 for 15-20ish.

I work on static analysis (points-to analysis) that does not use any GPU at all and is mostly single threaded.

Reply on news.ycombinator.com