Artificial Intelligence, Machine Learning, Parallel Computing, Diffusion Models, Content Generation.
hardware deployment costs by more than 10 times compared to using A100 solutions. By quantizing the model with Int8, the overall memory footprint of the model can be reduced from 352.3GB (FP16) to 185.6GB with Colossal-AI, while its model parallelism technique reduces the memory requirement per GPU