How would you architect a large-scale LLM training platform using Azure ML?

A large-scale LLM platform uses distributed GPU clusters, high-throughput storage, orchestration pipelines, parameter-efficient optimization, observability, and cost-aware infrastructure management.

Training large language models (LLMs) introduces architectural challenges far beyond traditional ML systems due to:

A scalable Azure ML LLM architecture typically includes:

3.…