Discussion on upgrading and tuning Grammarly's ML training platform to a scalable system. Topics include moving away from a custom architecture due to hardware shortages, key requirements and architectural challenges, MLOps best practices for scalability, and lessons learned from transitioning from a single-region AWS setup to a cross-region, multi-cloud cluster compute deployment.