Summary
The chroma chute (chute_id 1fc2c2e4-bb6e-5f73-8bd8-ed225a394dba, image comfyui:0.3.48-052aefbbac64) lists pro_6000 in supported_gpus but fails on RTX PRO 6000 Blackwell GPUs with:
CUDA error: no kernel image is available for execution on the device
The error occurs in the EmptyLatentImage ComfyUI node during warmup (torch.zeros on CUDA device). The image's PyTorch build does not include kernels for Blackwell compute capability 12.0 (sm_120).
Reproduction
Every chroma deployment on our 4× RTX PRO 6000 Blackwell passes PoVW verification, then crashes during initialize() warmup approximately 3 minutes later. Reproduced 4+ times with identical results.
Error trace from pod logs
Error occurred when executing EmptyLatentImage:
RuntimeError: CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.
This triggers during initialize() → workflow warmup → EmptyLatentImage node → torch.zeros(..., device="cuda").
Environment
- GPU: 4× NVIDIA RTX PRO 6000 Blackwell Server Edition, 96 GB VRAM each
- Compute capability: 12.0 (sm_120)
- CUDA driver: 590.48
- CUDA runtime: 13.1
- Hotkey:
5CCzhyifft3ei1Z5Z7xF8RnUZZXg2JoJTfxfrqpyRRCLGxov on subnet 64
Impact
chroma is the only scalable public chute that supports pro_6000. All other public chutes have reached their target capacity (validator rejects with "reached its target capacity of 2 instances").
Because chroma always fails on Blackwell, miners with RTX PRO 6000 GPUs:
- Cannot get more than 3 active public GPU instances (whisper=1, Affine=2)
- Cannot reach the 4 active public GPU threshold required for private chute deployments
- Are permanently locked out of private chutes — the highest-value workloads
This is a catch-22 specific to Blackwell miners on this subnet.
Request
Either:
- Rebuild the chroma image with a PyTorch version that includes Blackwell (sm_120) CUDA kernels
- Or remove
pro_6000 from chroma's supported_gpus list so it stops being offered to Blackwell miners
Option 1 is strongly preferred as it would unblock Blackwell miners entirely.
Summary
The
chromachute (chute_id1fc2c2e4-bb6e-5f73-8bd8-ed225a394dba, imagecomfyui:0.3.48-052aefbbac64) listspro_6000insupported_gpusbut fails on RTX PRO 6000 Blackwell GPUs with:The error occurs in the
EmptyLatentImageComfyUI node during warmup (torch.zeroson CUDA device). The image's PyTorch build does not include kernels for Blackwell compute capability 12.0 (sm_120).Reproduction
Every chroma deployment on our 4× RTX PRO 6000 Blackwell passes PoVW verification, then crashes during
initialize()warmup approximately 3 minutes later. Reproduced 4+ times with identical results.Error trace from pod logs
This triggers during
initialize()→ workflow warmup →EmptyLatentImagenode →torch.zeros(..., device="cuda").Environment
5CCzhyifft3ei1Z5Z7xF8RnUZZXg2JoJTfxfrqpyRRCLGxovon subnet 64Impact
chromais the only scalable public chute that supportspro_6000. All other public chutes have reached their target capacity (validator rejects with "reached its target capacity of 2 instances").Because chroma always fails on Blackwell, miners with RTX PRO 6000 GPUs:
This is a catch-22 specific to Blackwell miners on this subnet.
Request
Either:
pro_6000from chroma'ssupported_gpuslist so it stops being offered to Blackwell minersOption 1 is strongly preferred as it would unblock Blackwell miners entirely.