Apparently i’m also planning to buy a laptop ,to end my misery over working in deep learning with a core i3 processor ,4gb ram laptop.so i request you if you find the right laptop for deep learning which is available in india and under 1000$ please refer it to me .
Yes, I’ve found 3 that I really liked, I’m still searching for a better deal if I can get hold of one.
I’ve found 3 good ones in the price(prices in INR for your convenience) bracket of:
88k: MSI GL62
It has a 4 gig vRAM. @Jeremy suggests to use one with 6gig atleast.
1lakh: Acer 300 Helios:
However this is an imported version, not sure if Amazon will provide warranty on it.
1.25 lakhs: Dell Inspiron 7757:
I’ll be getting this one most probably, because I want one that’d be able to get me through 3-5 years at least there’s one hiccup in all of its reviews that the battery, weight, screen, keyboard all suck. But I’m fine with that as long as the Hardware is promising enough.
Edit: However, I must mention that everyone stresses that a custom assembled rig would be way better than a laptop in terms of price and performance. I’m being given a grant from my college hence I’m going to put in some money from my side and get it. If it’s possible, you should stick with the option of assembling a rig.
Just another thought: have a think about whether you really want a laptop, rather than buying a DL desktop and a cheap laptop to connect to it. You can often get more processing power for less money with a desktop, and can add more GPUs to it later.
Finally! Christmas is near and I will get my laptop soon! (My college administration is too slow, I know)
I have left my final decision to be one from Gtx-1070 one vs Gtx-1060 one. The price difference is about 800USD. Is it a good idea to spend that much?
(The pricing is according to India, Can’t negotiate with that )
The RAM is 16GB on the laptop. Upgrading to 32 GB will cost me about 300 USD, should I do that right away or wait a little while and upgrade it later when the price for RAM drops? (I ask this because, I will definitely take up the Part 2 next)
I’m convinced (almost) that the hot setup is to use a cheap notebook to remote into a machine learning desktop GPU server. Put your money into the desktop GPU server. Desktops are cheaper and more powerful than notebook machine learning systems.
I actually have the same laptop. I’m looking for instructions/tutorials to setup a working environment on this without having to resort to an option like Paperspace/AWS. I’d appreciate being directed to such a thing.
In my opinion, you should buy a desktop workstation, and a cheap laptop (but be sure not to neglect IPS display and a matte coating for it) to remotely log in into your ws.
You will have both at the same price of a fancy GPUed laptop, but you will end up with a much more flexible solution with no heat-related issues, and you laptop will be lighter to carry around. And you won’t lose an eye if you throw a cup of coffee on it.
Minimum desktop spec: gtx 1070, dual core, 16gb ram, but if you can, buy something able to handle more pcie lanes for future expansions (e.g. xeon e5, amd threadripper or epyc) and ECC ram.
Minimum laptop spec: like I said, IPS and matte coating for the display, and a good battery.
Note: ECC ram
@jeremy: what do you think about it? ECC ram could prevent data corruption in the long run. Do you have it onto you fast.ai or enlitic production workstations?