A reported DeepMind research-engineer question. The winning answer opens with a memory budget in bytes, not a list of parallelism buzzwords, here's the full arithmetic and the layout it forces.
more free answers with an account · no card
hardGoogleAnthropicOpenAI
We need to train a 100B-parameter model that won't fit in memory. Design the data and model parallelism.
A reported DeepMind research-engineer question. The winning answer opens with a memory budget in bytes, not a list of parallelism buzzwords, here's the full arithmetic and the layout it forces.
Updated Aug 2026 · Grounded in real Forward Deployed Engineer interview loops and written to a senior-engineer editorial bar.
Keep practising
Next in this trackPipeline parallelism, does it run over the scale-out network or stay inside the node? Map TP, PP, and DP onto the fabric.Free with sign-inNext in this trackWhat does NCCL actually do, and why can GPU utilization read 100% while the job is communication-bound?Free with sign-inNext in this trackInfiniBand vs RoCE for a GPU training cluster, how do you choose?Free with sign-in
DISCUSSION · 0
No comments yet — be the first to share your approach.