At Memorial Sloan Kettering, we're building a computational pathology AI based on hundreds of NVIDIA GPUs and a petabyte of clinical data to change the future of medical diagnosis and research. Pathology is a cornerstone of clinical care and cancer research since it underpins all diagnostic grading and staging of specimens. Despite its importance, the microscopic histopathologic assessment of tumor tissue is still a manual and hence laborious, error-prone, and highly subjective process. Our goal is to facilitate the transformation of pathology from a qualitative to a quantitative discipline by building an artificial intelligence for pathology. An AI that changes how pathologists work in their clinical routines and how they conduct research. An AI that will enable them to be not only faster and more efficient, but also that helps their work be more reproducible and more objective. In addition to clinical care, it will facilitate large-scale, quantitative screening for correlations between tissue morphology and genetic panels like MSK-IMPACT.