It is interesting that, ppl don't discuss the risk about use exploit to patch things inside GPU firmware may be dangerous but claiming "NV nerf your performance for stability" or so. BRUH plz check every detail before you discuss anything, NV only nerf "some" specific dtype combination's performance. 1. Tensor core's most heat comes from multiplier, accumulator is very small compare to other part inside tensor core 2. in consumer card, FP16 matmul FP16 accumulation can run in full speed, but FP32 accumulation can only run in half speed. Which means your card can run multiplier in full speed 3. in 50-series, Mxfp8 and NVfp4 can run FP32 accumulation in full speed. which means your accumulator can run in full speed. (those 2 dtype even have more multiplier and need to handle the block scale lol) 4. so there is NO reason such nerf is designed for stability (the difference between 3090/3090ti can be about quality or stablity, some flaw in chip make NV need to block some SM and result in weaker version). And Usually the raw power of pro card is even worse than consumer card (like the SM's frequency, vector FP32 speed, if you compare p6k and 5090 you will find this) The nerf is fully designed for spearate the market of pro card and consumer grade card. and use same design (with firmware cap) is actually cheaper in tape out. The only risk of such "unlock" is if you don't prepare proper fallback entry inside your grub or UEFI, you may lost your OS. That's all. The risk is even smaller than use apt to install nvidia driver.(X)

Now thanks to community resources like gpu-unlock-ada or gpu-unlock-4080s. I successfully unlocked my 4090 on "Windows" system. All the details are released in github.com/KohakuBlueleaf/Ko… Plz check it out! xitter.cf/KBlueleaf/status/21137…

Now I also confirmed that 2080ti unlock is successful with similar approach as the 30-series' method it reach nearly same speed as 350w 3090(locked) with only 250w in mmapeak and mamf-finder github.com/KohakuBlueleaf/Ko…

Confirmed that 3090 unlock is successful with 360watt power wall, I got 75T -> 135T (measured in Pytorch) Which is insane I used github.com/Zagitta/gpu-unloc… with commit a9b0c75

I made FP16 fixed version of MOSS-image It support any FP16 compute card (such as V100/2080ti) without any issue. and if your lora or PEFT model only trained QKVO/MLP layers, it can be used directly without issue! huggingface.co/KBlueLeaf/MOS…

The style lora test on Moss-image-base with 100step only

KohakuMossTrainer is released: github.com/KohakuBlueleaf/Ko… **Features** - LyCORIS all algorithms - SM70 ~ SM120 - Intel Arc GPU - Windows and LInux - multi GPU training - Model offload ***Try to test it now!***

New achievement: Top Reviewer in NeurIPS An extra registration slot is really helpful UwUb

Ppl focus on world generation or "playing in world" a lot while we are now delivering a new direction: editing the world! Check out our paper for more details!

The pretrained <200M TTVidT motion embedding model is released in HuggingFace! Plz check it with our github repository! huggingface.co/KBlueLeaf/TTV… github.com/KohakuBlueleaf/TT…

xitter.cf/KBlueleaf/status/21048… Remember to check our paper! huggingface.co/papers/2609.3… arxiv.org/abs/2609.33419