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doca-gpunetio

Use this skill when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via doca_gpu_eth_rxq / doca_gpu_eth_txq, standing up the per-CUDA-device doca_gpu context, designing the persistent CUDA kernel that drains the GPU-visible queue, running the dual capability check (DOCA cap-query plus cudaGetDeviceProperties), registering cudaMalloc pools via doca_buf_arr_create_*, or debugging DOCA_ERROR_* returns from the GPUNetIO API. Trigger even when the user does not explicitly mention "DOCA GPUNetIO" or "persistent kernel" — typical implicit phrasings include "CUDA kernel reading packets directly from the NIC", "GPU-initiated networking on BlueField", "DOCA_ERROR_DRIVER on doca_gpu_create", "nvidia_peermem not loaded", "kernel-per-packet is too slow", or "which GPU supports GPU-side packet I/O". Refuse and route elsewhere for general CUDA programming, DOCA Ethernet queue bring-up, DOCA DPA, or DOCA install — those belong to other skills.

skills/doca-gpunetio/SKILL.md

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Nov 6, 2026
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# DOCA GPUNetIO

## Examples

- **"CUDA kernel reading packets directly from the NIC."** — this is
  in scope. Stay on `doca_gpu_eth_rxq` / `_txq` and the persistent
  kernel; do not rewrite it as host-CPU Ethernet.
- **"DOCA_ERROR_DRIVER on doca_gpu_create."** — check CUDA device
  match and dmabuf / `nvidia-peermem` registration before changing queue type.

## Instructions

Follow Loading order below. Open the tasks companion for configure /
build / run. Open the capabilities companion for GPU vs host path