# Julia 1.1.0 kernel dies automatically

**URL:** <https://discourse.julialang.org/t/julia-1-1-0-kernel-dies-automatically/22604>\
**Category:** General Usage\
**Tags:** jupyter\
**Created:** [April 1, 2019, 4:20pm UTC](https://discourse.julialang.org/t/julia-1-1-0-kernel-dies-automatically/22604 "2019-04-01T16:20:08Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Schlator\_Borgenson](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/schlator_borgenson/32/7747_2.png) [@Schlator\_Borgenson](https://discourse.julialang.org/u/Schlator_Borgenson)\
**Post date:** [April 1, 2019, 4:20pm UTC](https://discourse.julialang.org/t/julia-1-1-0-kernel-dies-automatically/22604/1 "2019-04-01T16:20:08Z")

</div>

![Screenshot%20from%202019-04-01%2011-45-08](https://global.discourse-cdn.com/julialang/original/3X/0/0/009a05b768b61d0a3b5ceab1ce16d5894db86338.png) ![Screenshot%20from%202019-04-01%2011-44-40](https://global.discourse-cdn.com/julialang/original/3X/9/3/937dbc6f796efd27ca5139d83a77c4731a13cf71.png)

Unable to start a new Julia session because the kernel dies automatically. I have upgraded Julia 1.0.2 to Julia 1.1.0 and installed this newer kernel on Jupyter notebook using conda. I’m handicapped in a way as I don’t have sudo permission to remove ipykernel and reinstall it which seems to be a solution. Is there any workaround to this that does not involve using a condo environment? I fear that using a condo environment might limit my usage of computational resources on the server