Questions tagged [hardware]

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Is it true more CPU core is better for deep learning?

I just started to learn the deep learning in my free time. I was hoping to buy a laptop where I want to implement some small(alexnet) to medium(GoogleNet) networks maybe something bigger. I searched ...
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Can a desktop PC with a single Asus GTX 1060 6GB card power 2 displays while doing CUDA deep learning workloads? (plus other questions) [closed]

For starting deep learning study, I plan to purchase an Asus GTX 1060 6GB card in a Intel i7-4770 + B85 Express Chipset motherboard in my Acer AT3-605-UR21 desktop PC which comes with built-in Intel ...
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Will GPU optimized model run on TPU?

There is a project which contains models in DLC format (Snapdragon Neural Processing Engine - SNPE) that I guess are optimized for the Qualcomm Snapdragon 820 chipset (see second link). The project ...
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Deep Learning on Float-Value Time Series … How Much VRAM?

How much VRAM can you recommmend for a LSTM with about half a billion values of 32bit Floats per Feature? Every sample takes 100(in the beginning) to 10.000(later, probably still not enough) ...
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25 views

Why GPU doesn't utilise System memory?

I have noticed that more often when training huge Deep Learning models on consumer GPUs (like GTX 1050ti) The network often doesn't work. The reason is that the GPU just doesn't have enough ...
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1answer
23 views

Performance gain of GPU when learning DNNs

Currently, I learn deep neural networks on my CPU (i7-6700K) using TensorFlow without AVX2 enabled. The networks need about 3 weeks to be learned. Therefore, I am searching for a (cheap) way to speed ...
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10 views

Which PC hardware would you recommend to invest in for movement ecology studies in R (x,y,t data analysis)? [closed]

I mean all possible work with tagging data: GIS, tagging data pre-processing, visualisation, different types of modelling, simulations and modern analysis. I think it will be about 40 tagged animals ...
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1answer
307 views

How can we reduce the GPU memory usage when the model is already small enough?

I trained a model and froze it into a PB(protocol buffer) file and a directory of some variables, and the total size is about 31M. We deployed it using a GPU card and followed this answer and set the <...
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1answer
31 views

How to estimate machine learning training speed on different hardware

I need to put together a proposal for buying a better computer for machine learning. Is there any good way to estimate the general training speeds of computer hardware? Basicly, I want to be able to ...
2
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1answer
29 views

General equation for getting an idea of the scale of a machine learning project

I'm writing an application for a project where we intend to teach a model to predict one aspect of an environment (traffic safety) using a database with 10 images (about 300x300px and, say, 256 colors)...
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54 views

hardware configuration for data science

I would like to know what type of computer configuration to use to perform datascience on medium to low quantity of data (< 100 000 matrix line x 50 parameters). I have read some blog on people ...
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27 views

Will crypto currency mining hardware work fine for machine learning?

I've found that because of recession in crypto mining business a lot of mining rigs are available on sale in pretty reasonable prices. For around $1000 we can buy used machine. Will rig like this work ...
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1answer
902 views

Surface Pro 6 vs Macbook Pro for Professional Data Science Practice [closed]

[I strongly agree this is totally very opinionated question, thus narrators feel free to vote to close it if you feel it is right, but I find endless pros and cons on the Internet, I've decided to ask ...
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110 views

Hardware for deep learning [closed]

Disclaimer: I am very new to using stackexchange so bear with me. I am trying to gain experience using neural networks and would like to do a few projects involving them. Right now I am trying to ...
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1answer
120 views

What will the required time to process 500GB of images using NVIDIA GEFORCE 930M GPU

I have an image dataset of size 500GiB, and my system specs are NVIDIA GEFORCE 930M, 12GB of RAM and Intel Core i5. I have the following questions: Is it possible such a large dataset to be used in ...
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16 views

What video card is necessary for resnet34 64 batches?(How much memory) [closed]

I have an old nvidia gt240 and I was considering buying gt 730. However, despite being 7 years older, the gt240 is faster. Do I need at least 4g memory? Also, what card would you recommend?
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1answer
356 views

GPU performance is about 50% slower than benchmarks

Running this benchmark I get 50% slower performance than the author on practically all deep learning sub problems (SINGLE precision and on TRAINING only): I tested this on a GeForce 1080 GTX Ti and ...
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1answer
35 views

Machine Learning methods suited for CPU

I have a large number of x86_64 cores available to me, but no GPUs or TPUs. Which Machine Learning techniques are suited for execution on a CPU? I would imagine more "statistical learning" techniques ...
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1answer
197 views

How do I choose a laptop if I'm interested in learning and applying data science? [closed]

I just got started with learning data science, and I was wondering what type of laptop I'd need to buy. I understand that this might come probably a little too early -- but my current laptop ...
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1answer
6k views

Do Data Scientists prefer MACS? [closed]

I see many Data Science (DS) tutorials done on MACS, and many DS blogs recommend MACS as the best developing platform, thus the quote "Data Science is statistics on a Mac" came more than once into my ...
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1answer
1k views

Performance of four GTX 1080 Ti's versus one Tesla V100 for Deep Neural Network training

While this may be slightly off-topic, this question does pertain to data science and machine learning. I want to train a VGG16 model on Imagenet from scratch. For this purpose, I am looking into ...
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25 views

Cloud computing with country-specific region for Switzerland

Are there any cloud computing services that allow for processing and storing data exclusively in Switzerland? Are there any that have machine-learning-specific functionality? Most do not seem to have ...
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1answer
32 views

Are there any reports on Hardware errors affecting experiments?

I recently wrote this as a list of what I have seen / can think of as problem sources that make it hard to reproduce (replicate?) an experiment. I think I have seen most of them, except for hardware ...