# Failure to download artifact: CUDA\_Compiler

**URL:** <https://discourse.julialang.org/t/failure-to-download-artifact-cuda-compiler/131580>\
**Category:** New to Julia\
**Tags:** cuda\
**Created:** [August 13, 2025, 1:34pm UTC](https://discourse.julialang.org/t/failure-to-download-artifact-cuda-compiler/131580 "2025-08-13T13:34:14Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![mukund-gupta](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mukund-gupta/32/218222_2.png) [@mukund-gupta](https://discourse.julialang.org/u/mukund-gupta)\
**Post date:** [August 13, 2025, 1:34pm UTC](https://discourse.julialang.org/t/failure-to-download-artifact-cuda-compiler/131580/1 "2025-08-13T13:34:14Z")

</div>

Hi everyone,

I am new to CUDA.jl and am receiving the following error issues when performing` using CUDA` on a GPU node of a Linux cluster.

```julia-auto
Precompiling CUDA...
  22064.9 ms ✓ InvertedIndices
  22158.5 ms ✓ LaTeXStrings
  22141.4 ms ✓ Reexport
  22141.0 ms ✓ InlineStrings
  22134.9 ms ✓ UnsafeAtomics
  22167.7 ms ✓ AbstractFFTs
  22136.1 ms ✓ DataAPI
  22144.2 ms ✓ Statistics
  22311.0 ms ✓ LLVMLoopInfo
  22174.0 ms ✓ DataValueInterfaces
  22178.5 ms ✓ OrderedCollections
  22330.1 ms ✓ IteratorInterfaceExtensions
  22355.6 ms ✓ ExprTools
  22347.6 ms ✓ BFloat16s
  53222.9 ms ✓ Crayons
  33646.0 ms ✓ CEnum
  33716.4 ms ✓ StaticArraysCore
  34388.7 ms ✓ HashArrayMappedTries
  34377.1 ms ✓ Atomix
  34370.4 ms ✓ TableTraits
  34691.2 ms ✓ PooledArrays
  34816.2 ms ✓ Requires
  34830.6 ms ✓ CUDA_Runtime_Discovery
  34814.8 ms ✓ Scratch
  34814.5 ms ✓ Compat
  34697.5 ms ✓ Missings
  57520.6 ms ✓ MacroTools
  35260.4 ms ✓ Preferences
  35853.2 ms ✓ SentinelArrays
  23849.2 ms ✓ ScopedValues
  58393.0 ms ✓ RandomNumbers
  24006.3 ms ✓ Tables
  27724.5 ms ✓ Statistics → SparseArraysExt
  25339.1 ms ✓ FixedPointNumbers
  24200.5 ms ✓ Compat → CompatLinearAlgebraExt
  24237.5 ms ✓ Adapt
  24009.8 ms ✓ PrecompileTools
  24141.2 ms ✓ JLLWrappers
   2317.0 ms ✓ Random123
   1382.5 ms ✓ Adapt → AdaptSparseArraysExt
   1502.4 ms ✓ GPUArraysCore
   2052.0 ms ✓ JuliaNVTXCallbacks_jll
   2169.3 ms ✓ LibTracyClient_jll
   2213.8 ms ✓ NVTX_jll
   1920.7 ms ✓ demumble_jll
   2908.7 ms ✓ ColorTypes
   3158.3 ms ✓ CUDA_Driver_jll
   3327.4 ms ✓ StringManipulation
   4461.0 ms ✓ DataStructures
   2438.7 ms ✓ Tracy
   1688.6 ms ✓ SortingAlgorithms
   5896.3 ms ✓ LLVMExtra_jll
   8842.3 ms ✓ Colors
  11471.5 ms ✓ StaticArrays
   1772.4 ms ✓ StaticArrays → StaticArraysStatisticsExt
  10097.0 ms ✓ CUDA_Compiler_jll
   1894.2 ms ✓ Adapt → AdaptStaticArraysExt
  10295.1 ms ✓ CUDA_Runtime_jll
   4037.1 ms ✓ NVTX
   5371.3 ms ✓ KernelAbstractions
  13073.7 ms ✓ LLVM
   1531.6 ms ✓ KernelAbstractions → LinearAlgebraExt
   1883.0 ms ✓ KernelAbstractions → SparseArraysExt
   2110.4 ms ✓ LLVM → BFloat16sExt
   2216.7 ms ✓ GPUToolbox
   2664.7 ms ✓ UnsafeAtomics → UnsafeAtomicsLLVM
  24253.9 ms ✓ PrettyTables
  10364.6 ms ✓ GPUArrays
  43883.6 ms ✓ GPUCompiler
  82451.0 ms ✓ DataFrames
Info Given CUDA was explicitly requested, output will be shown live e[0K
e[0K Downloading artifact: CUDA_Compiler
e[0K Failure artifact: CUDA_Compiler
e[0K Downloading artifact: CUDA_Compiler
e[0K Failure artifact: CUDA_Compiler
e[0KERROR: LoadError: InitError: Unable to automatically download/install artifact 'CUDA_Compiler' from sources listed in '/home/guptam/.julia/packages/CUDA_Compiler_jll/rkyxr/Artifacts.toml'.
e[0KSources attempted:
e[0K- https://pkg.julialang.org/artifact/cae57872d6a54ed051458e5bd00f3eda51cc2dd5
e[0K Error: RequestError: Failed to connect to pkg.julialang.org port 443 after 0 ms: Couldn't connect to server while requesting https://pkg.julialang.org/artifact/cae57872d6a54ed051458e5bd00f3eda51cc2dd5
e[0K- https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+13.tar.gz
e[0K Error: RequestError: Failed to connect to github.com port 443 after 0 ms: Couldn't connect to server while requesting https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+13.tar.gz
e[0K
e[0KStacktrace:
e[0K [1] error(s::String)
e[0K @ Base ./error.jl:35
e[0K [2] ensure_artifact_installed(name::String, meta::Dict{String, Any}, artifacts_toml::String; platform::Base.BinaryPlatforms.Platform, verbose::Bool, quiet_download::Bool, io::IOContext{IO})
e[0K @ Pkg.Artifacts ~/.julia/juliaup/julia-1.11.6+0.x64.linux.gnu/share/julia/stdlib/v1.11/Pkg/src/Artifacts.jl:499
e[0K [3] _artifact_str( __module__ ::Module, artifacts_toml::String, name::SubString{String}, path_tail::String, artifact_dict::Dict{String, Any}, hash::Base.SHA1, platform::Base.BinaryPlatforms.Platform, lazyartifacts::Any)
e[0K @ Artifacts ~/.julia/juliaup/julia-1.11.6+0.x64.linux.gnu/share/julia/stdlib/v1.11/Artifacts/src/Artifacts.jl:570
e[0K [4] invokelatest(::Any, ::Any, ::Vararg{Any}; kwargs::@Kwargs{})
e[0K @ Base ./essentials.jl:1055
e[0K [5] invokelatest(::Any, ::Any, ::Vararg{Any})
e[0K @ Base ./essentials.jl:1052
e[0K [6] macro expansion
e[0K @ ~/.julia/juliaup/julia-1.11.6+0.x64.linux.gnu/share/julia/stdlib/v1.11/Artifacts/src/Artifacts.jl:726 [inlined]
e[0K [7] find_artifact_dir()
e[0K @ CUDA_Compiler_jll ~/.julia/packages/JLLWrappers/m2Pjh/src/wrapper_generators.jl:13
e[0K [8] __init__ ()
e[0K @ CUDA_Compiler_jll ~/.julia/packages/CUDA_Compiler_jll/rkyxr/src/wrappers/x86_64-linux-gnu-cuda+13.jl:12
e[0K [9] run_module_init(mod::Module, i::Int64)
e[0K @ Base ./loading.jl:1378
e[0K [10] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
e[0K @ Base ./loading.jl:1366
e[0K [11] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::String, depmods::Vector{Any}, ignore_native::Nothing; register::Bool)
e[0K @ Base ./loading.jl:1254
e[0K [12] _include_from_serialized (repeats 2 times)
e[0K @ ./loading.jl:1210 [inlined]
e[0K [13] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})
e[0K @ Base ./loading.jl:2057
e[0K [14] _require(pkg::Base.PkgId, env::String)
e[0K @ Base ./loading.jl:2527
e[0K [15] __require_prelocked(uuidkey::Base.PkgId, env::String)
e[0K @ Base ./loading.jl:2388
e[0K [16] #invoke_in_world#3
e[0K @ ./essentials.jl:1089 [inlined]
e[0K [17] invoke_in_world
e[0K @ ./essentials.jl:1086 [inlined]
e[0K [18] _require_prelocked(uuidkey::Base.PkgId, env::String)
e[0K @ Base ./loading.jl:2375
e[0K [19] macro expansion
e[0K @ ./loading.jl:2314 [inlined]
e[0K [20] macro expansion
e[0K @ ./lock.jl:273 [inlined]
e[0K [21] __require(into::Module, mod::Symbol)
e[0K @ Base ./loading.jl:2271
e[0K [22] #invoke_in_world#3
e[0K @ ./essentials.jl:1089 [inlined]
e[0K [23] invoke_in_world
e[0K @ ./essentials.jl:1086 [inlined]
e[0K [24] require(into::Module, mod::Symbol)
e[0K @ Base ./loading.jl:2260
e[0K [25] include
e[0K @ ./Base.jl:562 [inlined]
e[0K [26] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
e[0K @ Base ./loading.jl:2881
e[0K [27] top-level scope
e[0K @ stdin:6
e[0Kduring initialization of module CUDA_Compiler_jll
e[0Kin expression starting at /home/guptam/.julia/packages/CUDA/Wfi8S/src/CUDA.jl:1
e[0Kin expression starting at stdin:6
           ✗ CUDA
           ✗ Atomix → AtomixCUDAExt
  70 dependencies successfully precompiled in 240 seconds. 29 already precompiled.

ERROR: LoadError: The following 1 direct dependency failed to precompile:

CUDA 

Failed to precompile CUDA [052768ef-5323-5732-b1bb-66c8b64840ba] to "/home/guptam/.julia/compiled/v1.11/CUDA/jl_ksp1zR".
Downloading artifact: CUDA_Compiler
     Failure artifact: CUDA_Compiler
 Downloading artifact: CUDA_Compiler
     Failure artifact: CUDA_Compiler
ERROR: LoadError: InitError: Unable to automatically download/install artifact 'CUDA_Compiler' from sources listed in '/home/guptam/.julia/packages/CUDA_Compiler_jll/rkyxr/Artifacts.toml'.
Sources attempted:
- https://pkg.julialang.org/artifact/cae57872d6a54ed051458e5bd00f3eda51cc2dd5
    Error: RequestError: Failed to connect to pkg.julialang.org port 443 after 0 ms: Couldn't connect to server while requesting https://pkg.julialang.org/artifact/cae57872d6a54ed051458e5bd00f3eda51cc2dd5
- https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+13.tar.gz
    Error: RequestError: Failed to connect to github.com port 443 after 0 ms: Couldn't connect to server while requesting https://github.com/JuliaBinaryWrappers/CUDA_Compiler_jll.jl/releases/download/CUDA_Compiler-v0.2.0+0/CUDA_Compiler.v0.2.0.x86_64-linux-gnu-cuda+13.tar.gz

Stacktrace:
  [1] error(s::String)
    @ Base ./error.jl:35
  [2] ensure_artifact_installed(name::String, meta::Dict{String, Any}, artifacts_toml::String; platform::Base.BinaryPlatforms.Platform, verbose::Bool, quiet_download::Bool, io::IOContext{IO})
    @ Pkg.Artifacts ~/.julia/juliaup/julia-1.11.6+0.x64.linux.gnu/share/julia/stdlib/v1.11/Pkg/src/Artifacts.jl:499
  [3] _artifact_str( __module__ ::Module, artifacts_toml::String, name::SubString{String}, path_tail::String, artifact_dict::Dict{String, Any}, hash::Base.SHA1, platform::Base.BinaryPlatforms.Platform, lazyartifacts::Any)
    @ Artifacts ~/.julia/juliaup/julia-1.11.6+0.x64.linux.gnu/share/julia/stdlib/v1.11/Artifacts/src/Artifacts.jl:570
  [4] invokelatest(::Any, ::Any, ::Vararg{Any}; kwargs::@Kwargs{})
    @ Base ./essentials.jl:1055
  [5] invokelatest(::Any, ::Any, ::Vararg{Any})
    @ Base ./essentials.jl:1052
  [6] macro expansion
    @ ~/.julia/juliaup/julia-1.11.6+0.x64.linux.gnu/share/julia/stdlib/v1.11/Artifacts/src/Artifacts.jl:726 [inlined]
  [7] find_artifact_dir()
    @ CUDA_Compiler_jll ~/.julia/packages/JLLWrappers/m2Pjh/src/wrapper_generators.jl:13
  [8] __init__ ()
    @ CUDA_Compiler_jll ~/.julia/packages/CUDA_Compiler_jll/rkyxr/src/wrappers/x86_64-linux-gnu-cuda+13.jl:12
  [9] run_module_init(mod::Module, i::Int64)
    @ Base ./loading.jl:1378
 [10] register_restored_modules(sv::Core.SimpleVector, pkg::Base.PkgId, path::String)
    @ Base ./loading.jl:1366
 [11] _include_from_serialized(pkg::Base.PkgId, path::String, ocachepath::String, depmods::Vector{Any}, ignore_native::Nothing; register::Bool)
    @ Base ./loading.jl:1254
 [12] _include_from_serialized (repeats 2 times)
    @ ./loading.jl:1210 [inlined]
 [13] _require_search_from_serialized(pkg::Base.PkgId, sourcepath::String, build_id::UInt128, stalecheck::Bool; reasons::Dict{String, Int64}, DEPOT_PATH::Vector{String})
    @ Base ./loading.jl:2057
 [14] _require(pkg::Base.PkgId, env::String)
    @ Base ./loading.jl:2527
 [15] __require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2388
 [16] #invoke_in_world#3
    @ ./essentials.jl:1089 [inlined]
 [17] invoke_in_world
    @ ./essentials.jl:1086 [inlined]
 [18] _require_prelocked(uuidkey::Base.PkgId, env::String)
    @ Base ./loading.jl:2375
 [19] macro expansion
    @ ./loading.jl:2314 [inlined]
 [20] macro expansion
    @ ./lock.jl:273 [inlined]
 [21] __require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2271
 [22] #invoke_in_world#3
    @ ./essentials.jl:1089 [inlined]
 [23] invoke_in_world
    @ ./essentials.jl:1086 [inlined]
 [24] require(into::Module, mod::Symbol)
    @ Base ./loading.jl:2260
 [25] include
    @ ./Base.jl:562 [inlined]
 [26] include_package_for_output(pkg::Base.PkgId, input::String, depot_path::Vector{String}, dl_load_path::Vector{String}, load_path::Vector{String}, concrete_deps::Vector{Pair{Base.PkgId, UInt128}}, source::Nothing)
    @ Base ./loading.jl:2881
 [27] top-level scope
    @ stdin:6
during initialization of module CUDA_Compiler_jll
in expression starting at /home/guptam/.julia/packages/CUDA/Wfi8S/src/CUDA.jl:1
in expression starting at stdin:
in expression starting at /home/guptam/test_CUDA.jl:112
srun: error: gpu001: task 0: Exited with exit code 1
srun: launch/slurm: _step_signal: Terminating StepId=7933552.0

```

Here are the steps I took to get to this stage:

From a fresh install of Julia v1.11.6, I added CUDA as a package and performed ‘using CUDA’ on the head node of the cluster (CPU). I then set the runtime version as follows

```julia-auto
CUDA.set_runtime_version!(v"12.9")

```

I noted the relevant CUDA version by executing `nvidia-sim` in a bash script.

I then redid ‘using CUDA’ on the head node. This was successful and it downloaded the relevant artifact.

I then tried to run `using CUDA` on the GPU node. This is what fails with the error pasted above. Our GPU nodes are not allowed to access the internet, so cannot download the relevant artifact. I thought that the artifact had already been downloaded so I am not sure why it needs to do so again. Note that I tried specifying different CUDA versions above (e.g. 11.6) but got the same result.

Any help would be appreciated!

---

<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:** [September 1, 2025, 11:19am UTC](https://discourse.julialang.org/t/failure-to-download-artifact-cuda-compiler/131580/2 "2025-09-01T11:19:14Z")

</div>

The introduction of the CUDA\_Compiler\_jll artifact is pretty recent, it’s possible that does not play well with forcing a download on a GPU-less node. Although I suspect this may have been due to the preference you set not being respected as per [Fails to respect local CUDA\_Runtime\_jll's request to compile with local ptxas · Issue #2852 · JuliaGPU/CUDA.jl · GitHub](https://github.com/JuliaGPU/CUDA.jl/issues/2852), so maybe try again now that CUDA\_Compiler\_jll v0.2.0+2 also depends on the Runtime and should thus respect your preference. If that doesn’t work, please open an issue.