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nvlink

AI infra interview questions tagged nvlink, across every topic.

14 questions · 7 unlocked for you

Concepts behind "nvlink"

Review the concepts used in these questions.

Foundational
🖧 Hardware & Cluster Build-Out
NVLink Domains and the NVL72 RackAn NVLink domain connects a group of GPUs through a scale-up fabric. Its boundary helps determine where to place communication-heavy parallel groups.
Foundational
🔌 Networking & Storage
NCCL and Collective AlgorithmsNCCL implements GPU collectives using algorithms, protocols and channels over available hardware paths. Learn what each choice changes, how to read bandwidth results, and which evidence separates a communication problem from late application work.
Foundational
🩺 Fleet Reliability & Observability
GPU Failure Modes and XID ErrorsXID messages report GPU errors that need interpretation alongside logs and workload behavior. Use the code, recovery guidance and recurrence pattern to choose the next check.
Advanced
🧩 GPU & Accelerator Architecture🔒 Premium
NVLink, NVSwitch and PCIeNVLink, NVSwitch and PCIe provide different GPU communication paths. Learn how their topology and bandwidth affect the placement of parallel work.
Advanced
🕸️ Distributed Training🔒 Premium
Tensor ParallelismTensor parallelism splits operations within a layer across GPUs. Derive the column/row matrix split, count training and inference collectives, and choose a group size from memory, latency and actual interconnect performance.
Advanced
🔌 Networking & Storage🔒 Premium
Topology-Aware CommunicationMap communication groups onto real GPU and network paths. A four-rank example shows how two tensor-parallel streams share one adapter, why per-rank bandwidth can mislead, and when locality is worth waiting for.