Machine Learning11 min reading time

Explanation of INT8 ConvRot (FP8 is no longer needed)

Hacker News
Read full post
INT8 ConvRot, a new quantization method supported by ComfyUI since July 2026, improves AI model performance and efficiency, surpassing previous FP8 formats especially on Nvidia RTX GPUs. It is poised to become the standard for 8-bit quantized AI models, with ongoing support from Comfy-Org and adoption in tools like Forge Neo.

More in Machine Learning

Machine Learning4 min read

Arlequin AI raises €28M to build novel AI models that learn complex relationships at scale

SiliconANGLE
Machine Learning4 min read

DeepSeek launches V4.1-Flash and retires V4-Pro, its flagship model

The Next Web
Machine Learning3 min read

Nvidia and Palantir fine-tune a 30B Nemotron model for Nvidia’s supply chain. It beats a model 18 times its size.

Covered by 3 sources