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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Running a DOCA-linked binary directly on the hardware, with no container or kubelet: on host x86 with a BlueField NIC over PCIe, or bare-metal on BlueField Arm. Use for launching and supervising it (direct, tmux, systemd), and when it "exits 1 right after launch", "systemd keeps restarting it", reports "no matching device on the BF", or the BlueField itself is unhealthy: "bfb-install exited 0 but DPU is dead", "ping 192.168.100.2 works but ssh fails", "host PFs aren't showing netdevs". Service containers under kubelet belong to doca-container-deployment. Covers PCI/NUMA/CPU/IRQ binding, co-tenant isolation (cgroup-v2/netns/numactl), a seven-layer error taxonomy, platform lifecycle (BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery) and a six-state BlueField lifecycle classifier. Destructive firmware burn / mlxconfig set requires explicit confirmation via doca-hardware-safety; library APIs, env prep, and build use other skills.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Follow Loading order below. Open the tasks companion for launch / supervise / recover, and the capabilities companion for the runtime contract. Do not open every companion file.
Where to start: This skill is the bundle's home for operating
a DOCA-linked application binary directly on hardware — no
container, no kubelet, no static-pod manifest. It is the parallel
of doca-container-deployment
for the non-container path. If the user has a DOCA-linked binary
they built (per the canonical workflow in
doca-programming-guide)
and they want to know how to actually run it on the host or on
the BlueField Arm cores correctly, open
the tasks companion and start at
## configure. If the question is what
shape does the bare-metal runtime even have and what is the
deployment contract, start at the capabilities companion.
If the user is not yet sure whether their target system shape is
the container path or the bare-metal path, route the recognition
step to doca-setup first; only return
here once bare-metal is the confirmed shape.
This skill serves external DOCA developers and operators who have a DOCA-linked application binary they built and want to run it directly on hardware — i.e., people who already have:
doca-programming-guide ## build,It is not for:
mlx5_* or the
BlueField OS,doca-container-deployment
for the single-host kubelet-standalone shape; fleet/production-scale
deployment is fleet-orchestration scope — route to the orchestration
entry-point in
doca-public-knowledge-map ## Deploying DOCA services at scale
(DPF / Network Operator / Launch Kit), not hand-rolled static-pod loops),doca-setup ## no-install.The skill teaches the agent the bare-metal-deployment procedure
and the rules for quoting documented commands from the public DOCA
Programming Guide and the public BlueField / DPU User Manual via
doca-public-knowledge-map;
it does not invent flag names, PCI BDFs, NUMA numbers, devlink
paths, representor strings, or systemd Restart= mode names from
memory.
Load this skill when the user is doing hands-on bare-metal deployment of a DOCA-linked application binary on either of the two supported host modes (host x86 or BlueField Arm), or asking a cross-cutting bare-metal question that is not specific to one library's API. Concretely:
numactl / taskset for CPU + NUMA binding) so multiple DOCA
processes co-tenant on the same BlueField without crushing each
other.Do not load this skill for the container-path equivalent
(those questions go to
doca-container-deployment);
for full-Kubernetes-cluster operations (out of scope per the
bundle's non-goals); for library-API questions (route to the
matching libs/<library> skill); for env-preparation questions
including hugepages, IOMMU, pkg-config, and devlink mode flips
(use doca-setup); for any
hardware-state-changing operation including mlxconfig writes
and BFB reflashes (route to
doca-hardware-safety for the
cross-cutting meta-policy); or for cross-library programming
questions (use
doca-programming-guide).
This is a thin loader. Substantive material lives in two companion files:
numactl / taskset), the restart and
recovery semantics (documented systemd Restart= modes vs
crash-and-investigate vs supervisor-driven restart), the
bare-metal-specific version overlay on the four-way version
match owned by
doca-version, the cross-cutting
error taxonomy (seven layers, walked in order), the observability
surface (stdout/stderr discipline by launch mode; device-state
introspection via devlink / sysfs / mlxconfig query;
per-tenant resource visibility), and the safety policy (overlay
on
doca-hardware-safety:
smoke-before-bulk for binaries; failed bare-metal process is
HIGH-STAKES; do not invent PCI addresses, NUMA numbers,
representor names, devlink paths, or systemd Restart= mode
names; confirm tenant-isolation primitives BEFORE the workload
starts).configure, build, modify, run (with an explicit
### isolation sub-anchor covering cgroup-v2 / namespaces /
numactl per-tenant primitives), test, debug,
bluefield-lifecycle (the BFB-install → RShim/TMFIFO →
post-BFB-recovery operational sequencing ladder, with the
six-state bluefield-state-classifier sub-anchor), the
Command appendix (documented commands the agent may quote,
each cross-linked to its public-doc source — no invented
commands), and the Deferred task verbs block routing
container-path / cluster / library-API / env-prep /
hardware-state-change / cross-library questions out to their
owning skills. (The change-application discipline for any
mutating burn invoked from ## bluefield-lifecycle is still
meta-policy owned by
doca-hardware-safety,
loaded alongside.)The skill assumes a host or BlueField target where:
doca-setup ## test),doca-programming-guide ## build),It does not cover installing DOCA — that path goes through
doca-setup — and it does not cover
building the binary — that path goes through
doca-programming-guide.
configure, build (routing
stub), modify (routing stub), run (with ### isolation
sub-anchor), test, debug, bluefield-lifecycle (BFB
install + RShim/TMFIFO + post-BFB recovery + the six-state
bluefield-state-classifier), plus the Command appendix and
the Deferred task verbs block — see the tasks companion.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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`.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.