[3dem] GPU advice for Relion

[Ioannis Vakonakis]

Thanks again, this is very useful.

Best wishes

John
________________________________
From: Takanori Nakane <tnakane at mrc-lmb.cam.ac.uk>
Sent: 02 December 2019 12:06
To: Ioannis Vakonakis <ioannis.vakonakis at bioch.ox.ac.uk>
Cc: 3dem at ncmir.ucsd.edu <3dem at ncmir.ucsd.edu>
Subject: Re: [3dem] GPU advice for Relion

Hi,

2080 Ti has 11 GB and RELION can process up to 512 px box with pad 2
and 1024 px box with pad 1. Cards with 8 GB RAM are also OK for
most projects but you might struggle running multibody refinement.

Best regards,

Takanori Nakane

> Hi Takanori,
>
> Thanks for the quick reply. Even the top-end gaming cards (e.g. nVidia RTX
> 2080 Super) max to about 8 or 10GB, if memory serves right. Would that
> amount of memory be sufficient, or what card would you recommend?
>
> Best wishes
>
> John
> ________________________________
> From: Takanori Nakane <tnakane at mrc-lmb.cam.ac.uk>
> Sent: 02 December 2019 11:31
> To: Ioannis Vakonakis <ioannis.vakonakis at bioch.ox.ac.uk>
> Cc: 3dem at ncmir.ucsd.edu <3dem at ncmir.ucsd.edu>
> Subject: Re: [3dem] GPU advice for Relion
>
> Hi,
>
> GTX 1660Ti has only 6 GB of VRAM.
> I don't recommend this unless your box is very small.
>
> Best regards,
>
> Takanori Nakane
>
>> Dear colleagues,
>>
>> I'm looking for advice on building a workstation for general compute
>> tasks
>> as well as cryo-EM data analysis. Specifically, I was wondering if
>> anyone
>> has comparative experience on nVidia's RTX 20x0 line of cards versus the
>> GTX 1660Ti line. It seems to me that the GTX is a bit better
>> (performance
>> / $ and performance / watt) in regular compute benchmarks, but how do
>> they
>> compare on Relion? Otherwise, what would your GPU recommendation be?
>>
>> Best regards
>>
>> John Vakonakis
>> _______________________________________________
>> 3dem mailing list
>> 3dem at ncmir.ucsd.edu
>> https://mail.ncmir.ucsd.edu/mailman/listinfo/3dem
>>
>
>
>


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