# Using CuArrays returns incompatibility between CUDA and LLVM

**URL:** <https://discourse.julialang.org/t/using-cuarrays-returns-incompatibility-between-cuda-and-llvm/36465>\
**Category:** GPU\
**Created:** [March 24, 2020, 8:44pm UTC](https://discourse.julialang.org/t/using-cuarrays-returns-incompatibility-between-cuda-and-llvm/36465 "2020-03-24T20:44:01Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![sbacelar](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/sbacelar/32/4359_2.png) [@sbacelar](https://discourse.julialang.org/u/sbacelar)\
**Post date:** [March 24, 2020, 8:44pm UTC](https://discourse.julialang.org/t/using-cuarrays-returns-incompatibility-between-cuda-and-llvm/36465/1 "2020-03-24T20:44:01Z")

</div>

I am trying to follow this example on `Windows 10` and `Julia 1.4` and I am getting the following warning:

```julia
using CuArrays
x_d = CuArrays.fill(1.0f0, N) # a vector stored on the GPU filled with 1.0 (Float32)
y_d = CuArrays.fill(2.0f0, N) # a vector stored on the GPU filled with 2.0

```

Answer:

```julia
┌ Info: Precompiling CuArrays [3a865a2d-5b23-5a0f-bc46-62713ec82fae]
└ @ Base loading.jl:1260
┌ Warning: Incompatibility detected between CUDA and LLVM 8.0+; disabling debug info emission for CUDA kernels
└ @ CUDAnative C:\Users\sbac\.julia\packages\CUDAnative\hfulr\src\CUDAnative.jl:114

```

---

<div class="post-metadata">

**Author:** ![maleadt](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/maleadt/32/10097_2.png) [@maleadt](https://discourse.julialang.org/u/maleadt)\
**Post date:** [March 25, 2020, 10:21am UTC](https://discourse.julialang.org/t/using-cuarrays-returns-incompatibility-between-cuda-and-llvm/36465/2 "2020-03-25T10:21:10Z")

</div>

[https://discourse.julialang.org/t/incompatibility-detected-between-cuda-and-llvm-8-0/](https://discourse.julialang.org/t/incompatibility-detected-between-cuda-and-llvm-8-0/)