We have new workstations with RTX5090 GPUs. Unfortunately we can not use the AI Software Suite anymore, as these cards do not support Cuda 11 anymore. I tried updating by using a newer Nvidia DOcker image with cuda 12.8 but that leads to other issues down the road regarding tensorflow and so on.
We’re actively working on official support for the RTX 5090 / Blackwell architecture, but there’s no confirmed timeline just yet. I’ll update this thread as soon as we have more concrete info.
In the meantime, here’s what I’d try right now:
System Requirements (Hailo‑8 / Hailo‑10)
Whether you’re using:
Hailo‑8 / Hailo‑8L → DFC 3.33.0
Hailo‑10 / Hailo‑15 → DFC 5.1.0
…the GPU requirements are the same:
NVIDIA Driver: 555 or newer
CUDA: 12.5.1
cuDNN: 9.10
This setup also aligns with TensorFlow 2.18.0 and is consistent across the 3.32+/3.33 and 5.x lines.
About RTX 5090 / Blackwell
Blackwell (SM_120) isn’t officially supported yet — but with the right versions, it might work. Still, stability isn’t guaranteed.
What I’d recommend:
Make sure your driver is 555+
Use CUDA 12.5.1 and cuDNN 9.10
Let DFC manage its own TensorFlow environment to avoid conflicts
Even with that setup, errors like CUDA_ERROR_INVALID_HANDLE may still appear — we’re tracking this internally, but support isn’t finalized yet.
Workaround for Now
Your current fallback using:
CUDA_VISIBLE_DEVICES=-1
…is the safest and most stable approach for now. It works fine — just without GPU acceleration.