More Pixels, More Context, More Insight! - Cerebras

This post details how the Cerebras CS-2 system, powered by the Wafer-Scale Engine (WSE), enables training large deep neural networks on high-resolution images (up to 50 megapixels) without the memory limitations typically encountered with GPUs. It highlights the WSE's 40GB of on-chip SRAM and unique memory access capabilities, allowing direct processing of large images without tiling or downsampling, thus preserving contextual information and prediction accuracy. The post also mentions an update to R1.8 of the Cerebras Software Platform, increasing support for image segmentation on 50-megapixel images.