Cluster Architecture
Multi-GPU Parallelism Split Planner
Model division tool for distributed setups. Plan how model layers partition across Tensor Parallelism (TP) and Pipeline Parallelism (PP) ranks.
Topology Design
Configure your target model size and GPU cluster structure.
8 GPUs
The physical GPU pool size (e.g. 8x H100 SXM nodes). 2
Shards individual layer matrices (Attention/FFN) inside the same node. 4
Slices the transformer layer stack sequentially across network boundaries. Data Parallelism (DP) 1 Concurrent batch replicas
Layers / PP Stage 20 Layer chunk per GPU node
Topology Check Valid Setup
TP * PP matches available GPU pool.
⚠️ Invalid Configuration: The combined parallelism ranks (TP: × PP: = ) exceed or misalign with the available GPU pool count (). Adjust metrics to fit cluster capacity.