Distributed Training at Scale: Orchestrating Thousands of GPUs for LLMs
Learn how to orchestrate thousands of GPUs for LLM training. Discover why communication overhead, not compute, is the real bottleneck and how to choose the right parallelism strategy.
How Curriculum and Data Mixtures Speed Up Large Language Model Scaling
Curriculum learning and smart data mixtures are accelerating LLM scaling by boosting performance without larger models. Learn how data ordering, complexity grading, and freshness improve efficiency, reduce costs, and outperform random training.
