AppliedAIPrep logoAppliedAI/Prep
← ML Infrastructure & GPUs / 55
expertNVIDIAMicrosoftMeta

How do you combine data, tensor, and pipeline parallelism (3D parallelism) to train a 175B model?

No single parallelism dimension trains a 175B model on its own. The art is layering three of them onto the right hardware so the expensive communication stays on the fast links. Here is how to size each axis.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

No single parallelism dimension trains a 175B model on its own. The art is layering three of them onto the right hardware so the expensive communication stays on the fast links. Here is how to size each axis.

Unlock the other 754 answers · ₹2,000 / $25includes both full courses · progress stays saved · 6 months · one payment · no auto-renew
UP NEXT ON YOUR JOURNEY
Next in this trackWalk through the ZeRO stages and FSDP internals. Where does the memory actually go and when is it gathered?Next in this trackBeyond basic gradient checkpointing, how do you choose selective activation recomputation to maximize MFU?Next in this trackHow do you overlap communication with computation in distributed training, and how do you verify it works?
DISCUSSION · 0

No comments yet — be the first to share your approach.