thanks! I will sound really stupid but it was not obvious to me that the 
‘Documentation’ title in the menu bar was also a link.
maybe to consider if you work on the webpage layout…


> On 14 Sep 2017, at 15:40, DRC <[email protected]> wrote:
> 
> The requirements are in the documentation:
> https://turbovnc.org/Documentation/Documentation
> 
> A GPU is not required just to use TurboVNC.  Yes, all of the 2D
> rendering/compression is done by the CPU.  I recommend installing the
> 2.1.2 pre-release build, as it contains a lot of bug fixes relative to
> 2.1.1:
> 
> https://turbovnc.org/DeveloperInfo/PreReleases
> [under "master branch (2.1.x stable)"]
> 
> On 9/14/17 1:23 AM, Thomas Julou wrote:
>> Thanks for your answer.
>> I've another dummy question: does running turbo VNC requires a decent
>> graphic card on the server side? or is all the rendering/compression
>> handled by the cpu?
>> 
>> I looked for a "requirements" page / tab on the website but couldn't
>> find it…
>> 
>> 
>> On Wednesday, 13 September 2017 19:32:08 UTC+2, DRC wrote:
>> 
>>   On a LAN, TurboVNC can pretty easily deliver at least 60-70
>>   megapixels/second, so that would amount to 4k images at 15+ Hz.  We
>>   have
>>   thousands of users who are using it for their day-to-day workstation
>>   work with 4k remote desktops over gigabit Ethernet.
>> 
>>   On 9/13/17 11:14 AM, Thomas Julou wrote:
>>> I should probably mention that I would be happy with playing 200x500px
>>> image stacks at 10 frames/sec and ecstatic with 2000x2000 at 30 frames
>>> per sec…
>>> 
>>> 
>>> On Wednesday, 13 September 2017 18:10:19 UTC+2, Thomas Julou wrote:
>>> 
>>>   Hello,
>>> 
>>>   I'm looking for a way to have a remote desktop with reasonably
>>>   fast/smooth rendering of image series in ImageJ/Fiji. Our use case
>>>   typically consists in loading a stack of tiff images in the software
>>>   (i.e. in RAM) and playing them at various speed. 
>>> 
>>>   Currently we have an x2go connection with is very slow for this. I
>>>   would like to know whether virtualGL is suitable in this case.
>>>   Thank you very much for your help. Best,
>>> 
>>>   Thomas Julou
>> 
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