gpudirect
AI infra interview questions tagged gpudirect, across every topic.
7 questions · 2 unlocked for you
Concepts behind "gpudirect"
The curriculum that explains the ideas these questions test.
Core
RDMA, InfiniBand and RoCEv2Training across nodes moves hundreds of gigabytes per step, and a CPU-driven TCP stack cannot feed a 400 Gb/s link. RDMA lets a NIC write straight into a remote GPU's memory with no kernel and no copies, and it runs over two fabrics: InfiniBand, which is lossless by design, and RoCEv2, which is Ethernet made lossless by configuration. The choice is operational as much as technical, and the numbers that decide it are per-GPU bandwidth, the collective's volume, and who will debug a pause storm at 3 a.m.🔌 Networking & StorageSign in
Advanced
GPUDirect RDMA and GPUDirect StorageBy default a byte leaving a GPU for the network or the disk makes a detour through host memory, crossing PCIe twice and costing a CPU copy. GPUDirect RDMA lets the NIC read and write GPU memory directly, and GPUDirect Storage does the same for NVMe. The win is not raw bandwidth (PCIe is the ceiling either way) but the halving of PCIe traffic and the removal of the host as a bottleneck, which is what makes collectives run at NIC rate and checkpoints run at drive rate. When it is silently off, everything still works, at half speed.🔌 Networking & Storage🔒 Premium
