[NLPL Task Force (A)] trial usage on DaaS
Bjørn Lindi
bjorn.lindi at ntnu.no
Thu Sep 13 18:54:36 UTC 2018
Hi Gurvinder,
I think Monday/Tuesday is a bit too early for having identified any suspects. The NLPL infrastructure team will probably discuss this tomorrow, and we can get back to you ( I am anyway unavailable Monday and Tuesday).
You can delete the ‘nlpr’ project space and make a new one ‘nlpl’. There is nothing of value in the ‘nlpr’-space.
Best Regards
Bjørn
> On 13 Sep 2018, at 19:04, Gurvinder Singh <gurvinder.singh at uninett.no> wrote:
>
> Hei Stephan,
>
> We, at Uninett, are positive to this proposal and it should provide us feedback from a new user domain. DaaS is a research cluster with 8 GPUs in it (7 Titan X/Xp and 1 P5000) whereas NIRD service platform is a production cluster. Currently NIRD SP lacks GPUs but GPUs (Volta V100) have been ordered and will be available on platform in a month or two. From end user perspective both platform provide a user friendly App Store. So your team can start using DaaS and later on can get access to Volta GPUs on NIRD SP.
>
> Regarding access, use the Appstore (https://appstore.ioudaas.no/ <https://appstore.ioudaas.no/>) to deploy Deep-learning-tools application. It already has Tensorflow, Pytorch, Keras and few other machine learning framework in it. Documentation is located here https://appstore.ioudaas.no/docs/ <https://appstore.ioudaas.no/docs/> and if your team members would like to have the kubectl level access not just appstore then use docs here https://docs.ioudaas.no/access/ <https://docs.ioudaas.no/access/> Access is controlled using Dataporten, so any user from Norwegian higher education community should be OK also most users from education community in Europe.
>
> As Bjørn mentioned I already have a nlpr project space. I can create a new group called nlpl or rename the current one, please let me know which is preferred. I think, it would be good to have a short (30-60 mins) video meeting next week (Monday anytime between 1000-1200 or Tuesday before lunch time) where I can walk you and your team through the various things to get started and get to know more about your use case as well.
>
> -- Gurvinder
>
> On 13 Sep 2018, at 12:04, Stephan Oepen wrote:
>
> dear colleagues,
>
> in our NeIC-funded project NLPL (‘http://www.nlpl.eu’ <http://www.nlpl.xn--eu-o2t/>), we are
> currently running up against limited gpu availability on the Abel and
> (finnish) Taito clusters.
>
> hence, i am wondering whether it would make sense for us to explore
> usage of the DaaS service platform? we have a handful of
> technologically reasonably seasoned doctoral fellows who will be eager
> to gain access to gpus (typically to run TensorFlow or PyTorch).
>
> if this sounded like a plausible trial use case to you at this point,
> i would suggest you set up a namespace (preferably ‘nlpl’ :-) for us
> and point us at available documentation for users to gain access and
> get started.
>
> all NLPL users (including those from outside norway) have MAS
> accounts, to access Abel, so i am hoping non-feide users will also be
> able to connect to DaaS?
>
> with thanks in advance, oe
>
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