# \[No CUDA GPUs are available\] CUDA 12.2 w/ PyTorch 2.1.0+cu121

**URL:** <https://discuss.pytorch.org/t/no-cuda-gpus-are-available-cuda-12-2-w-pytorch-2-1-0-cu121/212823>\
**Category:** PyTorch Live\
**Created:** [November 11, 2024, 10:49pm UTC](https://discuss.pytorch.org/t/no-cuda-gpus-are-available-cuda-12-2-w-pytorch-2-1-0-cu121/212823 "2024-11-11T22:49:55Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![James\_Jang](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/james_jang/32/73925_2.png) [@James\_Jang](https://discuss.pytorch.org/u/James_Jang)\
**Post date:** [November 11, 2024, 10:49pm UTC](https://discuss.pytorch.org/t/no-cuda-gpus-are-available-cuda-12-2-w-pytorch-2-1-0-cu121/212823/1 "2024-11-11T22:49:55Z")

</div>

Hello,

I repeatedly face this “No CUDA GPUs are available” error, although it seems that all the library versions are compatible.

My torch is `2.1.0+cu121` and CUDA is `12.2`. Could anyone check the issue I’m facing with?

```auto
Mon Nov 11 17:46:36 2024
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 535.161.07 Driver Version: 535.161.07 CUDA Version: 12.2 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA RTX 6000 Ada Gene... On | 00000000:01:00.0 Off | Off |
| 30% 26C P8 24W / 300W | 1MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 1 NVIDIA RTX 6000 Ada Gene... On | 00000000:25:00.0 Off | Off |
| 30% 25C P8 22W / 300W | 1MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 2 NVIDIA RTX 6000 Ada Gene... On | 00000000:41:00.0 Off | Off |
| 30% 26C P8 20W / 300W | 1MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 3 NVIDIA RTX 6000 Ada Gene... On | 00000000:61:00.0 Off | Off |
| 30% 25C P8 19W / 300W | 1MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 4 NVIDIA RTX 6000 Ada Gene... On | 00000000:81:00.0 Off | Off |
| 30% 25C P8 19W / 300W | 1MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 5 NVIDIA RTX 6000 Ada Gene... On | 00000000:A1:00.0 Off | Off |
| 30% 24C P8 19W / 300W | 1MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 6 NVIDIA RTX 6000 Ada Gene... On | 00000000:C1:00.0 Off | Off |
| 30% 25C P8 21W / 300W | 1MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 7 NVIDIA RTX 6000 Ada Gene... On | 00000000:E1:00.0 Off | Off |
| 30% 24C P8 25W / 300W | 1MiB / 49140MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
| No running processes found |
+---------------------------------------------------------------------------------------+

```

```auto
(myenv) myname@myserver:~$ pip list
Package Version
------------------------- --------------
anyio 4.6.2.post1
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.1
async-lru 2.0.4
attrs 24.2.0
babel 2.16.0
beautifulsoup4 4.12.3
bleach 6.2.0
Brotli 1.0.9
certifi 2024.8.30
cffi 1.17.1
charset-normalizer 3.4.0
comm 0.2.2
contourpy 1.3.0
cycler 0.12.1
debugpy 1.8.7
decorator 5.1.1
defusedxml 0.7.1
exceptiongroup 1.2.2
executing 2.1.0
fastjsonschema 2.20.0
filelock 3.13.1
fonttools 4.54.1
fqdn 1.5.1
fsspec 2024.10.0
gmpy2 2.1.2
h11 0.14.0
httpcore 1.0.6
httpx 0.27.2
huggingface-hub 0.26.2
idna 3.10
ipykernel 6.29.5
ipython 8.29.0
ipywidgets 8.1.5
isoduration 20.11.0
jedi 0.19.2
Jinja2 3.1.4
json5 0.9.25
jsonpointer 3.0.0
jsonschema 4.23.0
jsonschema-specifications 2024.10.1
jupyter 1.1.1
jupyter_client 8.6.3
jupyter-console 6.6.3
jupyter_core 5.7.2
jupyter-events 0.10.0
jupyter-lsp 2.2.5
jupyter_server 2.14.2
jupyter_server_terminals 0.5.3
jupyterlab 4.2.5
jupyterlab_pygments 0.3.0
jupyterlab_server 2.27.3
jupyterlab_widgets 3.0.13
kagglehub 0.3.4
kiwisolver 1.4.7
MarkupSafe 2.1.3
matplotlib 3.9.2
matplotlib-inline 0.1.7
mistune 3.0.2
mkl_fft 1.3.11
mkl_random 1.2.8
mkl-service 2.4.0
mpmath 1.3.0
nbclient 0.10.0
nbconvert 7.16.4
nbformat 5.10.4
nest-asyncio 1.6.0
networkx 3.2.1
notebook 7.2.2
notebook_shim 0.2.4
numpy 1.23.5
nvidia-cublas-cu12 12.4.5.8
nvidia-cuda-cupti-cu12 12.4.127
nvidia-cuda-nvrtc-cu12 12.4.127
nvidia-cuda-runtime-cu12 12.4.127
nvidia-cudnn-cu12 9.1.0.70
nvidia-cufft-cu12 11.2.1.3
nvidia-curand-cu12 10.3.5.147
nvidia-cusolver-cu12 11.6.1.9
nvidia-cusparse-cu12 12.3.1.170
nvidia-nccl-cu12 2.21.5
nvidia-nvjitlink-cu12 12.4.127
nvidia-nvtx-cu12 12.4.127
overrides 7.7.0
packaging 24.1
pandas 2.2.3
pandocfilters 1.5.1
parso 0.8.4
pexpect 4.9.0
pillow 10.4.0
pip 24.2
platformdirs 4.3.6
prometheus_client 0.21.0
prompt_toolkit 3.0.48
psutil 6.1.0
ptyprocess 0.7.0
pure_eval 0.2.3
pycparser 2.22
Pygments 2.18.0
pyparsing 3.2.0
PySocks 1.7.1
python-dateutil 2.9.0.post0
python-json-logger 2.0.7
pytz 2024.2
PyYAML 6.0.2
pyzmq 26.2.0
referencing 0.35.1
regex 2024.11.6
requests 2.32.3
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.21.0
safetensors 0.4.5
Send2Trash 1.8.3
sentencepiece 0.2.0
setuptools 75.1.0
six 1.16.0
sniffio 1.3.1
soupsieve 2.6
stack-data 0.6.3
sympy 1.13.1
terminado 0.18.1
tinycss2 1.4.0
tokenizers 0.20.3
tomli 2.0.2
torch 2.1.0+cu121
torchaudio 2.1.0+cu121
torchvision 0.16.0+cu121
tornado 6.4.1
tqdm 4.67.0
traitlets 5.14.3
transformers 4.46.2
triton 2.1.0
types-python-dateutil 2.9.0.20241003
typing_extensions 4.12.2
tzdata 2024.2
uri-template 1.3.0
urllib3 2.2.3
wcwidth 0.2.13
webcolors 24.8.0
webencodings 0.5.1
websocket-client 1.8.0
wheel 0.44.0
widgetsnbextension 4.0.13

```

---

<div class="post-metadata">

**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\
**Post date:** [November 12, 2024, 1:27pm UTC](https://discuss.pytorch.org/t/no-cuda-gpus-are-available-cuda-12-2-w-pytorch-2-1-0-cu121/212823/2 "2024-11-12T13:27:34Z")

</div>

Most likely your NVIDIA drivers aren’t properly installed and thus PyTorch fails to communicate with your GPUs.