You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I'm using an A100 running Qwen Image Edit 2511 fp8mixed, and its inference speed is approximately 1.01s/it
Afterwards, I saw this extension and tried using it to create OTFs from the bf16 version, or manually creating convolutional int8 safetensors.
However, I didn't get any speedup from it, even when using compile; the speed remained unchanged compared to fp8mixed.
That is very curious as the A100 should not have any hardware accelerated FP8. I don't really have any A100's lying around to test though. On all hardware that I have available there is a decent speed gain with INT8.
I guess it's possible our triton kernels are not properly working on an A100, but even then there should be at least some noticeable improvement. Seeing no speed-up at all is indeed highly suspect.
I even tried replacing the silver's comfy_kitchen wheel and add --enable-triton-backend to force the Triton backend to be enabled, but still nothing changed.
Activity
BobJohnson24 commentedon Jun 7, 2026
That is very curious as the A100 should not have any hardware accelerated FP8. I don't really have any A100's lying around to test though. On all hardware that I have available there is a decent speed gain with INT8.
I guess it's possible our triton kernels are not properly working on an A100, but even then there should be at least some noticeable improvement. Seeing no speed-up at all is indeed highly suspect.
Airo0 commentedon Jun 7, 2026
I even tried replacing the silver's comfy_kitchen wheel and add
--enable-triton-backendto force the Triton backend to be enabled, but still nothing changed.Airo0 commentedon Jun 7, 2026
huanchen-stack/sglang@b2b01ba
I found the reason.
BobJohnson24 commentedon Jun 7, 2026
I am sorry to hear that and will keep this in mind if A100s ever go cheap.