Data Preprocessing Pipeline Design for LLM Training Throughput
Fixing bottlenecks stage-by-stage keeps GPUs fed with tokens.
Marcus Dell'Acqua
Section
5 stories in Systems Design.
Fixing bottlenecks stage-by-stage keeps GPUs fed with tokens.
Failures at massive scale demand checkpoints so frequent that I/O overhead dominates training time.
A tiered memory hierarchy solves long-context LLM serving bottlenecks.
How PagedAttention solved the memory crisis that made LLM serving uneconomical.
FP8 cuts KV cache memory in half while keeping accuracy loss under half a percentage point.