  Machine learning (ML) is becoming an increasingly important component of
cutting-edge physics research, but its computational requirements present
significant challenges. In this white paper, we discuss the needs of the
physics community regarding ML across latency and throughput regimes, the tools
and resources that offer the possibility of addressing these needs, and how
these can be best utilized and accessed in the coming years.
