NumPy and SciPy on Multi-Node Multi-GPU systems
conda install legate::cupynumericconda install legate/label/branch-25.01::cupynumericconda install legate/label/experimental::cupynumericconda install legate/label/pull-request-1014-experimental::cupynumericconda install legate/label/pull-request-1068-experimental::cupynumericconda install legate/label/pull-request-1079-experimental::cupynumericconda install legate/label/pull-request-1143-rc::cupynumericconda install legate/label/pull-request-1165-rc::cupynumericconda install legate/label/pull-request-1173-rc::cupynumericconda install legate/label/pull-request-941-experimental::cupynumericconda install legate/label/pull-request-995-experimental::cupynumericconda install legate/label/rc::cupynumericconda install legate/label/slac::cupynumericconda install legate/label/workflow_passed::cupynumeric
cuPyNumeric implements the NumPy API on top of the Legate framework, providing transparent accelerated computing that scales from a single CPU to a single GPU, and up to multi-node, multi-GPU systems.