21 August 2026

Interactive guide maps five parallel training strategies for AI models

• A new interactive guide explains data parallelism, FSDP, tensor parallelism, pipeline parallelism, and expert parallelism. These are different ways to split model training work across multiple computers.
• The guide shows how hardware capabilities and communication patterns between computers determine which strategy works best in different situations.
• Each strategy has performance limits. The guide helps identify which bottleneck (communication delay, memory limits, or compute limits) will hit first for a given setup.

How it was covered

TLDR AITLDR editorial team

The guide covers data parallelism, FSDP, tensor parallelism, pipeline parallelism, and expert parallelism, explaining how hardware and communication patterns determine when each strategy becomes bottlenecked.