A combined parallelism recipe on SuperMUC-NG Phase 2 delivers 10% of theoretical peak throughput for 175B models plus 93% weak and 82% strong scaling efficiency on 128 nodes using unmodified public software.
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A Scalable Recipe on SuperMUC-NG Phase 2: Efficient Large-Scale Training of Language Models
A combined parallelism recipe on SuperMUC-NG Phase 2 delivers 10% of theoretical peak throughput for 175B models plus 93% weak and 82% strong scaling efficiency on 128 nodes using unmodified public software.