Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
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Use this skill when the user is doing hands-on DOCA Device Emulation on a BlueField DPU — exposing a custom emulated PCIe device the host sees as a real peripheral while DPU-side code runs the backend, picking the sub-library (PCI Generic, virtio-net, virtio-fs), wiring the per-sub-library Core context plus doorbell / DMA primitives, querying `doca_devemu_*_cap_*`, or debugging DOCA_ERROR_* from a `doca_devemu_*` call. Trigger even when the user does not say "devemu" — typical implicit phrasings include "expose a custom PCIe device from BlueField to the host", "host should see a virtio NIC backed by my DPU code", "lspci does not show my emulated device", "device enumerated but no driver binds", "DPU sees nothing when host kicks the queue", or "virtio feature negotiation failed at bind". Refuse and route elsewhere for the packaged DOCA SNAP / Virtio-net Services, host-side virtio kernel drivers, backend body design, or standard BlueField NIC behavior — those belong to other skills.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Follow Loading order below. Open the tasks companion for configure / emulate / debug. Open the capabilities companion for sub-libraries and cap queries. Do not open every companion file.
Where to start: This skill assumes DOCA is already installed
on the host AND on the BlueField, the user is doing hands-on
emulated-PCIe-device work from the DPU side (writing the
backend that the host's kernel driver will talk to over the
emulated PCIe surface), and the user knows which CLASS of
emulated device they want to build. Open
the tasks companion if the user wants to do something
(configure / build / modify / run / test / debug); open
the capabilities companion when the question is
what can Device Emulation express on this DOCA version + this
BlueField generation + this firmware. If the user has not
installed DOCA yet, route to
doca-setup first. Before
anything else, the agent must route the user to the right
sub-library — DOCA Device Emulation is an umbrella that
covers PCI Generic (raw PCIe device emulation), virtio-net
(emulated virtio network device), and virtio-fs (emulated
virtio filesystem device); each sub-library has its own
context, its own pkg-config module, and its own capability
surface. The sub-library selection rule lives in
the capabilities companion.
If the user wants a packaged solution rather than a library
(e.g. "I want NVMe SNAP on my host without writing the
backend myself", or "I want a managed virtio-net daemon"),
route via
doca-public-knowledge-map
to the DOCA SNAP Service / DOCA Virtio-net Service guides
— those services are built on top of this library and are a
different artifact than what this skill covers.
This skill serves external developers building applications
that consume the DOCA Device Emulation library — i.e., users
whose DPU-side code calls doca_devemu_pci_*,
doca_devemu_virtio_*, or doca_devemu_vfs_* (directly
in C / C++, or through FFI / bindings from another language)
to expose an emulated PCIe device to the host that the host's
existing kernel drivers can drive as if it were a real PCIe
peripheral. It is not for NVIDIA developers contributing to
DOCA Device Emulation itself, and it is not the right
artifact for users who want a packaged emulated-device daemon
they do not have to write the backend for (the DOCA SNAP
Service and the DOCA Virtio-net Service are the packaged
options that build on top of this library).
Language scope. DOCA Device Emulation ships as a C library;
this skill covers three sub-libraries end-to-end. Select the exact
installed pkg-config module for the user's emulation class (see
the sub-library selection table in
the capabilities companion).
The shipped samples under
/opt/mellanox/doca/samples/doca_devemu/ are
written in C. C and C++ consumers are the canonical case and
the worked examples in the tasks companion assume that path.
Other-language consumers (Rust, Go, Python, …) consume the
same *.so files through FFI or language-specific bindings;
the skill's contribution in that case is to keep the
sub-library selection, umbrella lifecycle, capability-discovery,
permission, and error-taxonomy guidance language-neutral, and
to route the agent to the public C ABI as the authoritative
surface that any wrapper will eventually call.
Load this skill when the user is doing hands-on DOCA Device Emulation work from the DPU side, in any language. Concretely:
doca_devemu_pci_cap_*, doca_devemu_virtio_cap_*, or
doca_devemu_vfs_cap_* query families against the
active doca_devinfo BEFORE assuming a particular feature
bit or device characteristic is available.doca-devemu
yourself and adopting a packaged service (DOCA SNAP Service
/ DOCA Virtio-net Service) that already wraps this library.DOCA_ERROR_* returned from a doca_devemu_*
call — in particular disambiguating firmware-level
emulation type not enabled from BlueField generation does
not support this sub-library at all from DPU-side process
lacks privilege from host-side kernel driver did not bind.Do not load this skill for general DOCA orientation,
install of DOCA itself, the host-side kernel driver for the
emulated device class (virtio-net / virtio-blk / virtio-fs
kernel drivers ship with the host kernel and are not part of
DOCA), the packaged SNAP / Virtio-net services (they are
separate artifacts with their own service guides), or for
standard NIC behavior on the BlueField data path (use
doca-flow +
doca-eth instead — Device Emulation
is for custom emulated devices, not for shaping the
BlueField's built-in NIC personality).
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive Device Emulation-specific material lives in two companion files:
doca_devemu_*_cap_*), the
per-sub-library pkg-config module name, the Device
Emulation error taxonomy mapped onto the cross-library
DOCA_ERROR_* set, the observability surface, the
library-vs-packaged-service path-selection rule, and the
safety policy that gates env preconditions (DPU-side
privileges, BlueField firmware-level emulation type
enablement, BlueField generation actually supporting the
emulation class).configure, build, modify,
run, test, debug. Plus a Deferred task verbs block
that points out-of-scope questions at the right next skill.The skill assumes a host + BlueField pair where DOCA is
already installed at the standard location on both sides, the
BlueField firmware has the emulation type the user wants to
build enabled, the user has the privileges their public
install profile expects (in particular, sudo on the DPU side
to perform PCIe-level emulation), and the host kernel ships
the standard driver for the emulated device class the user is
building. It does not cover installing DOCA, flipping
firmware-level configuration, or installing host-side kernel
drivers — those paths go through
doca-setup.
doca-devemu library, not the packaged SNAP /
Virtio-net services, not the host-side kernel driver, not
standard NIC behavior).pkg-config modules, the library-vs-
packaged-service path-selection rule, the error taxonomy,
the observability surface, and the safety policy, see
the capabilities companion.Both companion files cross-link to each other,
doca-version for the
canonical DOCA version-handling rules (with the Device
Emulation overlay that the chosen sub-library's pkg-config
module plus the firmware-level emulation slot plus the
doca_devemu_*_cap_* query are all part of "is this
emulation supported here"), and
doca-public-knowledge-map
whenever the right answer is "look it up in the public DOCA
Device Emulation umbrella guide, the per-sub-library guide
linked from it, the DOCA SNAP / Virtio-net Service guide, or
in the on-disk install layout" rather than "Device Emulation-
specific guidance".
doca-public-knowledge-map —
the routing table for every public DOCA documentation
source and the on-disk layout of an installed DOCA
package. The Device Emulation umbrella URL is
https://docs.nvidia.com/doca/sdk/DOCA-Device-Emulation/index.html;
per-sub-library guides are linked from the umbrella, and
the packaged DOCA SNAP / Virtio-net services are listed
under the DOCA Services umbrella as separate artifacts.doca-setup — env preparation,
install verification, DPU-side privilege checks, BlueField
firmware configuration (including the per-sub-library
emulation type enable), and the I have no install yet
path with the public NGC DOCA container. This skill assumes
its preconditions are satisfied AND that the firmware-level
emulation type for the user's chosen sub-library is enabled.doca-version — canonical
DOCA version-handling rules. This skill's Version
compatibility overlay cross-links the four-way match rule
and adds the Device Emulation-specific per-sub-library
pkg-config + doca_devemu_*_cap_* overlay.doca-structured-tools-contract —
the bundle's structured-tools precedence rule (detect /
prefer / fall back / report). The Command appendix in
the tasks companion honors this contract.doca-programming-guide —
general DOCA programming patterns shared by every library:
the canonical pkg-config + meson build pattern, the
universal modify-a-shipped-sample first-app workflow, the
universal Core-context lifecycle, the cross-library
DOCA_ERROR_* taxonomy, and the program-side debug order.
This skill layers Device Emulation specifics on top.doca-comch — the right library
when the user wants a control-plane channel between a
host process and a DPU process over PCIe but does NOT want
the host to see the DPU as an emulated PCIe device with a
standard host kernel driver. Device Emulation hides the
DPU behind a real-looking PCIe device class; Comch is an
explicit host ↔ DPU IPC.doca-flow and
doca-eth — the right libraries
when the user wants to shape traffic on the BlueField's
built-in NIC personality, not expose a custom emulated
PCIe device. Device Emulation is for new emulated PCIe
devices the host did not previously see; Flow / Eth are
for the BlueField's existing NIC surface.doca-debug — the cross-cutting
debug ladder (install / version / build / link / runtime /
program / driver). Device Emulation-specific debug
(firmware-level emulation type not enabled, sub-library
mis-selected, host kernel driver not binding to the
emulated device, virtio feature-negotiation failures)
overlays on top of that ladder.还没有评价。欢迎分享你的使用感受。
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Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
中文简介正在准备中。当前显示原文说明。
Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.
中文简介正在准备中。当前显示原文说明。
Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, then runs calibration.
中文简介正在准备中。当前显示原文说明。
Run end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
中文简介正在准备中。当前显示原文说明。
Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`.
中文简介正在准备中。当前显示原文说明。
Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
中文简介正在准备中。当前显示原文说明。