Distributed AI infrastructure role, company not confirmed
Real technical interviewNovember 23, 2025
Distributed GPU Training Platform: EffDL and MultiGPU system design
System-design style technical interview for an AI infrastructure role: design a compute platform that trains LLMs and other neural networks on idle GPUs across multiple data centers.
1 question4 cases
Аудио и материалы
Выводы и как готовиться
- The core design tension is between heterogeneous idle GPU capacity and predictable distributed-training jobs.
- A good answer separates control plane concerns from training runtime: API, queue, scheduler, orchestration, storage, tracking and monitoring.
- Distributed training vocabulary matters: DDP, FSDP, ZeRO, data/tensor/pipeline parallelism, NCCL topology and checkpoint strategy are all part of the expected surface.