“no kernel image is available for execution on the device” What This PyTorch Error Means On RunPod Blackwell GPUs
You launch a training job on RunPod. PyTorch detects your GPU, torch.cuda.is_available() returns True, and your environment checks appear to pass. Then your script reaches its first real CUDA operation and crashes: RuntimeError: CUDA error: no kernel image is available for execution on the device I…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-11-09 13:12 · DEV Community — Machine Learning
“no kernel image is available for execution on the device” What This PyTorch Error Means On RunPod Blackwell GPUs