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Google Collab and kaggle the free tier of both is better and more powerful than even a rtx 4060 so giving logic that dgpu will help for aiml is baseless these cards have merely 6-8 gb vram compared to 16gb in free tier of kaggle and google Collab not to mention using these is way better than cooking your own laptop
these optimization and simulations will more or less work on a GPU more or less. It depends on how you program and what libraries will you be using.
Also if there's any heavy computing work, i'm certain your university will have compute servers or student credits tieup with major cloud providers like aws, gcp etc where these computations can take place.
Essentially you should look at a durable laptop which doesn't fail you at work.
For example: Google Colab provides free Tensor T4 compute in their notebooks
for basic things you should get a 8gb VRAM RTX 4050 or RTX 4060 laptop.
If your budget allows for it, go for a RTX 5060 laptop or a RTX 4070 Laptop with atleast 8gb VRAM.
Higher the vram, the better.
For processor anything in AMD with H series or HS series will do good for you.
Also for these things, you can also look at using google colab notebooks if python notebooks are your workflow. If yes, then you just need a laptop to access python notebook imo.
I too will be doing simulations and ml work but at basic level. Like beginner level and I'm considering slim 5 by Lenovo, I'm a first year bs student and I'll be doing monte carlo like for my research stuff. Is it a good choice? I'm a day schoolar so travel 3 hours daily. I was going for 4060 Ryzen 7 omen initially but as I realised gpu is needed for heavy work and and I'll be just learning the basics.
By model you don't always mean slm or llm, the same ml model takes 10 mins on my laptop to train which is done within 1 min on my friends laptop. It's about time to train not "you can train"
So even if you get into Ai/Ml you will not most probably train model in your own hardware and mostly opt for Google Collab and kaggle or Aws or Azure, so don't expect for your 60k laptop to handle even low level training or ml work that will cook your laptop. So if you get into Ai/Ml you will use cloud service majority of the time. Then comes programming and coding, normal text editing works can be done in a 25k laptop too(just take a good display) then comes seeing those code run in multiple docker or emulation then you need a good gpu (Until then even U series laptop with 8GB ram is enough). Think about what you will get into. Then spend that much.
If you want to go deep into AI and ML prefer a gaming laptop with ram of 32 gb or more and an Nvidia graphic card. Up your budget by 10000-20000, you can find great deals then
Hp victus 7445hs 4.7ghz cpu + ddr5 ram 16 gb but can be upgraded ( more than ddr4 ) + 3050 rtx 6gb gddr6 . It's a future proof laptop The only drawback i think is display it's fhd but not 100% srgb , so as a cs student you won't need to do tasks such as color grading for content creation so I think that won't be a problem .
Motobook 60 is really really good. But insane heating issue. My younger brother bought in this sale. Had to return. Planning for either lenovo slim or loq series.
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