# Questions about the RTX5070Ti GPU support

**URL:** <https://discourse.julialang.org/t/questions-about-the-rtx5070ti-gpu-support/127199>\
**Category:** VS Code\
**Created:** [March 21, 2025, 12:29am UTC](https://discourse.julialang.org/t/questions-about-the-rtx5070ti-gpu-support/127199 "2025-03-21T00:29:28Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Yongda\_Huang](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/yongda_huang/32/215931_2.png) [@Yongda\_Huang](https://discourse.julialang.org/u/Yongda_Huang)\
**Post date:** [March 21, 2025, 12:29am UTC](https://discourse.julialang.org/t/questions-about-the-rtx5070ti-gpu-support/127199/1 "2025-03-21T00:29:28Z")

</div>

I got an warning like,  
CUDA error: no kernel image is available for execution on the device (code 209, ERROR\_NO\_BINARY\_FOR\_GPU)

My cuda information is here,  
CUDA runtime 12.8, artifact installation  
CUDA driver 12.8  
NVIDIA driver 572.70.0

CUDA libraries:

- CUBLAS: 12.8.3
- CURAND: 10.3.9
- CUFFT: 11.3.3
- CUSOLVER: 11.7.2
- CUSPARSE: 12.5.7
- CUPTI: 2025.1.0 (API 26.0.0)
- NVML: 12.0.0+572.70

Julia packages:

- CUDA: 5.7.0
- CUDA\_Driver\_jll: 0.12.0+0
- CUDA\_Runtime\_jll: 0.16.0+0

Toolchain:

- Julia: 1.11.4
- LLVM: 16.0.6

1 device:  
0: NVIDIA GeForce RTX 5070 Ti (sm\_120, 13.312 GiB / 15.921 GiB available)