Cannon 2.0 represents the expansion of the liquid-cooled Cannon cluster, providing access to Intel's latest Sapphire Rapids processors and Nvidia's A100 GPUs to the Harvard research community. This update aims to reduce wait times and provide additional resources to the community. On the Cannon cluster, we observed that limited memory on the nodes was contributing to extended wait times for workflows requiring more memory. The additional memory in these new compute nodes will help bridge this gap. Read more here.