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DGX Spark GB10: PkgError: Package CUDA errored during testing #2950

@brian-learns

Description

@brian-learns

Describe the bug

Tests fail

To reproduce

(@v1.12) pkg> test CUDA

I don't know what a Manifest is, but here are the results of running the tests

https://gist.github.com/brian-learns/bba7ad2f6cb974f41c976a303c61b18d

Here is how I installed this morning.

@sparky:~$ sudo snap install julia --classic
@sparky:~$ julia
julia> import Pkg; Pkg.add("CUDA")
julia> using CUDA
julia> CUDA.versioninfo()
CUDA toolchain: 
- runtime 13.0, artifact installation
- driver 580.95.5 for 13.0
- compiler 13.0

CUDA libraries: 
- CUBLAS: 13.1.0
- CURAND: 10.4.0
- CUFFT: 12.0.0
- CUSOLVER: 12.0.4
- CUSPARSE: 12.6.3
- CUPTI: 2025.3.1 (API 13.0.1)
- NVML: 13.0.0+580.95.5

Julia packages: 
- CUDA: 5.9.2
- CUDA_Driver_jll: 13.0.2+0
- CUDA_Compiler_jll: 0.3.0+0
- CUDA_Runtime_jll: 0.19.2+0

Toolchain:
- Julia: 1.12.0
- LLVM: 18.1.7

1 device:
  0: NVIDIA GB10 (sm_121, 109.722 GiB / 119.699 GiB available)

Expected behavior

passing tests w/o errors

Version info

Details on Julia:

julia> versioninfo()
Julia Version 1.12.0
Commit b907bd0600f (2025-10-07 15:42 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: Linux (aarch64-linux-gnu)
  CPU: 20 × unknown
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, generic)
  GC: Built with stock GC
Threads: 1 default, 1 interactive, 1 GC (on 20 virtual cores)

Details on CUDA:

julia> CUDA.versioninfo()
CUDA toolchain: 
- runtime 13.0, artifact installation
- driver 580.95.5 for 13.0
- compiler 13.0

CUDA libraries: 
- CUBLAS: 13.1.0
- CURAND: 10.4.0
- CUFFT: 12.0.0
- CUSOLVER: 12.0.4
- CUSPARSE: 12.6.3
- CUPTI: 2025.3.1 (API 13.0.1)
- NVML: 13.0.0+580.95.5

Julia packages: 
- CUDA: 5.9.2
- CUDA_Driver_jll: 13.0.2+0
- CUDA_Compiler_jll: 0.3.0+0
- CUDA_Runtime_jll: 0.19.2+0

Toolchain:
- Julia: 1.12.0
- LLVM: 18.1.7

1 device:
  0: NVIDIA GB10 (sm_121, 109.839 GiB / 119.699 GiB available)

Additional context

I was following the directions on the tutorial at https://cuda.juliagpu.org/stable/tutorials/introduction/#Your-first-GPU-computation

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