Architecture decision
For multi-GPU training, specify topology and communication requirements. Adding memory numbers from unrelated servers is not a cluster design.
GLOBALATLAS AI · AI training
AI training
Training stores activations, gradients and optimizer state in addition to model weights. Dataset throughput and checkpoints also matter.
A reproducible training run
- 01
Version the dataset and training code
- 02
Measure a training batch including optimizer state
- 03
Write checkpoints and verify run recovery
Configuration requirements
Measure a representative batch. Multi-GPU training requires an explicit interconnect and distributed setup; this version checks single-GPU offers.