# Is there a PyTorch build that supports NVIDIA RTX 5090 (Compute Capability 12.0 / sm\_120)?

**URL:** <https://discuss.pytorch.org/t/is-there-a-pytorch-build-that-supports-nvidia-rtx-5090-compute-capability-12-0-sm-120/223536>\
**Category:** Uncategorized\
**Created:** [October 8, 2025, 9:44pm UTC](https://discuss.pytorch.org/t/is-there-a-pytorch-build-that-supports-nvidia-rtx-5090-compute-capability-12-0-sm-120/223536 "2025-10-08T21:44:32Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![David\_Ariza](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/david_ariza/32/74920_2.png) [@David\_Ariza](https://discuss.pytorch.org/u/David_Ariza)\
**Post date:** [October 8, 2025, 9:44pm UTC](https://discuss.pytorch.org/t/is-there-a-pytorch-build-that-supports-nvidia-rtx-5090-compute-capability-12-0-sm-120/223536/1 "2025-10-08T21:44:32Z")

</div>

Hey everyone,

I just got an **RTX 5090** , and I’m running into issues using it with PyTorch.  
It looks like PyTorch doesn’t yet support the new **Blackwell architecture** (compute capability 12.0 / sm\_120).

When I try to run any CUDA ops, I get this warning and crash:

`UserWarning: NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation.`  
`The current PyTorch install supports CUDA capabilities sm_61 sm_70 sm_75 sm_80 sm_86 sm_90.`  
`torch.AcceleratorError: CUDA error: no kernel image is available for execution on the device`

I’m currently on the latest stable build (CUDA 12.6).  
Before switching to the nightly, I wanted to ask:

- Is there _any_ PyTorch build (nightly or experimental) that already supports **sm\_120** or any plan for it?

- Or should I wait for a future release (like PyTorch 2.5 or the CUDA 13 build)?

- If it’s not out yet, can I build from source with CUDA 13 to get it working?

Would love to hear if anyone has managed to get their RTX 5090 / 5080 working yet.

---

<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:** [October 8, 2025, 11:57pm UTC](https://discuss.pytorch.org/t/is-there-a-pytorch-build-that-supports-nvidia-rtx-5090-compute-capability-12-0-sm-120/223536/2 "2025-10-08T23:57:45Z")

</div>

Blackwell GPUs require CUDA 12.8+ so install any stable or nightly PyTorch binary with CUDA 12.8+ from our install matrix.
