Wich GPU-card to make deep learning with a MacBook Pro?
$begingroup$
I'm a owner for a MacBook Pro. I want to accelerate my deep learning models, because with the CPU, it's very slow !
Could you tell me which GPU card I can buy for it ?
Thanks.
neural-network
New contributor
$endgroup$
add a comment |
$begingroup$
I'm a owner for a MacBook Pro. I want to accelerate my deep learning models, because with the CPU, it's very slow !
Could you tell me which GPU card I can buy for it ?
Thanks.
neural-network
New contributor
$endgroup$
$begingroup$
Will you use a thunderbolt GPU accelerator for connecting the GPU?
$endgroup$
– Ugur MULUK
yesterday
$begingroup$
Have you looked for GPU cards for your model laptop? Please do some research online before asking here.
$endgroup$
– Spacedman
yesterday
$begingroup$
My MacBook Pro is a 2016 series with 2 thunderbolt ports. I looked for gpu cards but I’ve just seen help for Nvidia Titan X which is out of stock.
$endgroup$
– Jmbernabotto
19 hours ago
add a comment |
$begingroup$
I'm a owner for a MacBook Pro. I want to accelerate my deep learning models, because with the CPU, it's very slow !
Could you tell me which GPU card I can buy for it ?
Thanks.
neural-network
New contributor
$endgroup$
I'm a owner for a MacBook Pro. I want to accelerate my deep learning models, because with the CPU, it's very slow !
Could you tell me which GPU card I can buy for it ?
Thanks.
neural-network
neural-network
New contributor
New contributor
New contributor
asked yesterday
JmbernabottoJmbernabotto
134
134
New contributor
New contributor
$begingroup$
Will you use a thunderbolt GPU accelerator for connecting the GPU?
$endgroup$
– Ugur MULUK
yesterday
$begingroup$
Have you looked for GPU cards for your model laptop? Please do some research online before asking here.
$endgroup$
– Spacedman
yesterday
$begingroup$
My MacBook Pro is a 2016 series with 2 thunderbolt ports. I looked for gpu cards but I’ve just seen help for Nvidia Titan X which is out of stock.
$endgroup$
– Jmbernabotto
19 hours ago
add a comment |
$begingroup$
Will you use a thunderbolt GPU accelerator for connecting the GPU?
$endgroup$
– Ugur MULUK
yesterday
$begingroup$
Have you looked for GPU cards for your model laptop? Please do some research online before asking here.
$endgroup$
– Spacedman
yesterday
$begingroup$
My MacBook Pro is a 2016 series with 2 thunderbolt ports. I looked for gpu cards but I’ve just seen help for Nvidia Titan X which is out of stock.
$endgroup$
– Jmbernabotto
19 hours ago
$begingroup$
Will you use a thunderbolt GPU accelerator for connecting the GPU?
$endgroup$
– Ugur MULUK
yesterday
$begingroup$
Will you use a thunderbolt GPU accelerator for connecting the GPU?
$endgroup$
– Ugur MULUK
yesterday
$begingroup$
Have you looked for GPU cards for your model laptop? Please do some research online before asking here.
$endgroup$
– Spacedman
yesterday
$begingroup$
Have you looked for GPU cards for your model laptop? Please do some research online before asking here.
$endgroup$
– Spacedman
yesterday
$begingroup$
My MacBook Pro is a 2016 series with 2 thunderbolt ports. I looked for gpu cards but I’ve just seen help for Nvidia Titan X which is out of stock.
$endgroup$
– Jmbernabotto
19 hours ago
$begingroup$
My MacBook Pro is a 2016 series with 2 thunderbolt ports. I looked for gpu cards but I’ve just seen help for Nvidia Titan X which is out of stock.
$endgroup$
– Jmbernabotto
19 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
I also have a Macbook and I do data science on it. I looked at this same issue about 1 year ago and it's very possible that the landscape has changed since then.
But, at that time, I came to the conclusion that my best and most cost-effective options were to either (1) get a notebook with a GPU (of which there are many now due to the popularity of e-sports) or (2) get some space on AWS and their GPU servers. I really couldn't find an "enhanced Mac" option that would be as quick or work with as many tools as the above 2 options can offer you.
FYI - on the surface, the AWS option may seem expensive. But if you write your code locally and test on smaller samples and then only move that code to AWS when you need to do the deep learning phases (and only keep the AWS server running for those minutes) it can be a surprisingly affordable way to go.
$endgroup$
$begingroup$
Thanks for this response. I allready though the cloud way (AWS or other ) was the right way. I wanted to be sure.
$endgroup$
– Jmbernabotto
20 hours ago
$begingroup$
Rather than AWS or Cloud ML by Google, I try to use crestle.ai.
$endgroup$
– Jmbernabotto
13 hours ago
$begingroup$
@Jmbernabotto if my advice has helped you, I'd appreciate you marking it as the answer here :)
$endgroup$
– I_Play_With_Data
9 hours ago
add a comment |
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1 Answer
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1 Answer
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$begingroup$
I also have a Macbook and I do data science on it. I looked at this same issue about 1 year ago and it's very possible that the landscape has changed since then.
But, at that time, I came to the conclusion that my best and most cost-effective options were to either (1) get a notebook with a GPU (of which there are many now due to the popularity of e-sports) or (2) get some space on AWS and their GPU servers. I really couldn't find an "enhanced Mac" option that would be as quick or work with as many tools as the above 2 options can offer you.
FYI - on the surface, the AWS option may seem expensive. But if you write your code locally and test on smaller samples and then only move that code to AWS when you need to do the deep learning phases (and only keep the AWS server running for those minutes) it can be a surprisingly affordable way to go.
$endgroup$
$begingroup$
Thanks for this response. I allready though the cloud way (AWS or other ) was the right way. I wanted to be sure.
$endgroup$
– Jmbernabotto
20 hours ago
$begingroup$
Rather than AWS or Cloud ML by Google, I try to use crestle.ai.
$endgroup$
– Jmbernabotto
13 hours ago
$begingroup$
@Jmbernabotto if my advice has helped you, I'd appreciate you marking it as the answer here :)
$endgroup$
– I_Play_With_Data
9 hours ago
add a comment |
$begingroup$
I also have a Macbook and I do data science on it. I looked at this same issue about 1 year ago and it's very possible that the landscape has changed since then.
But, at that time, I came to the conclusion that my best and most cost-effective options were to either (1) get a notebook with a GPU (of which there are many now due to the popularity of e-sports) or (2) get some space on AWS and their GPU servers. I really couldn't find an "enhanced Mac" option that would be as quick or work with as many tools as the above 2 options can offer you.
FYI - on the surface, the AWS option may seem expensive. But if you write your code locally and test on smaller samples and then only move that code to AWS when you need to do the deep learning phases (and only keep the AWS server running for those minutes) it can be a surprisingly affordable way to go.
$endgroup$
$begingroup$
Thanks for this response. I allready though the cloud way (AWS or other ) was the right way. I wanted to be sure.
$endgroup$
– Jmbernabotto
20 hours ago
$begingroup$
Rather than AWS or Cloud ML by Google, I try to use crestle.ai.
$endgroup$
– Jmbernabotto
13 hours ago
$begingroup$
@Jmbernabotto if my advice has helped you, I'd appreciate you marking it as the answer here :)
$endgroup$
– I_Play_With_Data
9 hours ago
add a comment |
$begingroup$
I also have a Macbook and I do data science on it. I looked at this same issue about 1 year ago and it's very possible that the landscape has changed since then.
But, at that time, I came to the conclusion that my best and most cost-effective options were to either (1) get a notebook with a GPU (of which there are many now due to the popularity of e-sports) or (2) get some space on AWS and their GPU servers. I really couldn't find an "enhanced Mac" option that would be as quick or work with as many tools as the above 2 options can offer you.
FYI - on the surface, the AWS option may seem expensive. But if you write your code locally and test on smaller samples and then only move that code to AWS when you need to do the deep learning phases (and only keep the AWS server running for those minutes) it can be a surprisingly affordable way to go.
$endgroup$
I also have a Macbook and I do data science on it. I looked at this same issue about 1 year ago and it's very possible that the landscape has changed since then.
But, at that time, I came to the conclusion that my best and most cost-effective options were to either (1) get a notebook with a GPU (of which there are many now due to the popularity of e-sports) or (2) get some space on AWS and their GPU servers. I really couldn't find an "enhanced Mac" option that would be as quick or work with as many tools as the above 2 options can offer you.
FYI - on the surface, the AWS option may seem expensive. But if you write your code locally and test on smaller samples and then only move that code to AWS when you need to do the deep learning phases (and only keep the AWS server running for those minutes) it can be a surprisingly affordable way to go.
answered yesterday
I_Play_With_DataI_Play_With_Data
1,019422
1,019422
$begingroup$
Thanks for this response. I allready though the cloud way (AWS or other ) was the right way. I wanted to be sure.
$endgroup$
– Jmbernabotto
20 hours ago
$begingroup$
Rather than AWS or Cloud ML by Google, I try to use crestle.ai.
$endgroup$
– Jmbernabotto
13 hours ago
$begingroup$
@Jmbernabotto if my advice has helped you, I'd appreciate you marking it as the answer here :)
$endgroup$
– I_Play_With_Data
9 hours ago
add a comment |
$begingroup$
Thanks for this response. I allready though the cloud way (AWS or other ) was the right way. I wanted to be sure.
$endgroup$
– Jmbernabotto
20 hours ago
$begingroup$
Rather than AWS or Cloud ML by Google, I try to use crestle.ai.
$endgroup$
– Jmbernabotto
13 hours ago
$begingroup$
@Jmbernabotto if my advice has helped you, I'd appreciate you marking it as the answer here :)
$endgroup$
– I_Play_With_Data
9 hours ago
$begingroup$
Thanks for this response. I allready though the cloud way (AWS or other ) was the right way. I wanted to be sure.
$endgroup$
– Jmbernabotto
20 hours ago
$begingroup$
Thanks for this response. I allready though the cloud way (AWS or other ) was the right way. I wanted to be sure.
$endgroup$
– Jmbernabotto
20 hours ago
$begingroup$
Rather than AWS or Cloud ML by Google, I try to use crestle.ai.
$endgroup$
– Jmbernabotto
13 hours ago
$begingroup$
Rather than AWS or Cloud ML by Google, I try to use crestle.ai.
$endgroup$
– Jmbernabotto
13 hours ago
$begingroup$
@Jmbernabotto if my advice has helped you, I'd appreciate you marking it as the answer here :)
$endgroup$
– I_Play_With_Data
9 hours ago
$begingroup$
@Jmbernabotto if my advice has helped you, I'd appreciate you marking it as the answer here :)
$endgroup$
– I_Play_With_Data
9 hours ago
add a comment |
Jmbernabotto is a new contributor. Be nice, and check out our Code of Conduct.
Jmbernabotto is a new contributor. Be nice, and check out our Code of Conduct.
Jmbernabotto is a new contributor. Be nice, and check out our Code of Conduct.
Jmbernabotto is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
Will you use a thunderbolt GPU accelerator for connecting the GPU?
$endgroup$
– Ugur MULUK
yesterday
$begingroup$
Have you looked for GPU cards for your model laptop? Please do some research online before asking here.
$endgroup$
– Spacedman
yesterday
$begingroup$
My MacBook Pro is a 2016 series with 2 thunderbolt ports. I looked for gpu cards but I’ve just seen help for Nvidia Titan X which is out of stock.
$endgroup$
– Jmbernabotto
19 hours ago