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 invoking `doca_spcx_cc` (the host-side CLI under /opt/mellanox/doca/tools/) to load, parameterize, start, observe, or stop a Programmable Congestion Control (SPCX) algorithm on a BlueField with a DPA processor against a live RDMA / RoCE fabric, or picking SPCX vs the established `doca-pcc` surface. Trigger even when the user does not say "DOCA SPCX" or "doca_spcx_cc" — typical implicit phrasings include "I want to write a custom RTT-based CC algorithm for my RoCE fabric", "my SPCX session loaded but throughput / latency didn't change", "doca_pcc status shows Active but factory CC seems to still be in charge", "DOCA_PCC_PS_ERROR on start", "is the programmable-CC surface available on my install", or "DPA-side algorithm image won't load". Refuse and route elsewhere for DPA-side algorithm authoring detail, factory PCC firmware configuration, read-only PCC counter inspection, raw DPA cycle profiling, RDMA library programming, or general DOCA install — 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。
doca-pcc for a custom CC
algorithm?" — this is in scope. Walk the decision tree
before loading anything on a live fabric.Follow Loading order below. Open the tasks companion for configure / run. Open the capabilities companion for the SPCX-vs-PCC tradeoff and safety. Do not open every companion file.
Where to start: This is a tool skill for invoking
doca_spcx_cc — the documented host-side CLI that exercises
an SPCX-class Programmable Congestion Control algorithm on a
live RDMA / RoCE fabric driven by a BlueField with a DPA
processor. Open the tasks companion and start at
## configure for the
SPCX-vs-PCC-vs-factory-firmware decision tree (load-bearing
gate before any code), the role decision (RP / NP), the
DPA-side algorithm authoring vs consumption split, and the
live-link / contention precondition. Open
the capabilities companion when the question is
what does SPCX let me express that doca-pcc does not,
what is the SPCX-vs-PCC tradeoff, what runtime metrics
does the tool surface, or what is the safety posture for
loading a custom CC algorithm on a production fabric. If
DOCA is not installed yet, route to
doca-setup first.
This skill is the next-gen programmable-CC surface.
doca-pcc is the established
PCC story; SPCX is the documented extension that authors
SPCX-class algorithms on the same DPA hardware substrate.
doca-pcc-ztr-rttcc-algo
is one shipped reference algorithm (zero-touch RTT-based
CC) that can be loaded through either the PCC or SPCX path
depending on the install and the user's algorithm choice;
the agent surfaces this decision tree explicitly per
the capabilities companion.
The CLASSES of doca_spcx_cc questions this skill is built
to answer, each with one worked example. The class is the
load-bearing piece; the worked example is one instance.
doca-pcc for my custom CC
algorithm?" — worked example: "I want to write a new
RTT-based congestion-control algorithm for my RoCE
fabric — which surface do I target?". Answered by the
SPCX-vs-PCC-vs-factory-firmware decision tree in
the capabilities companion
doca_pcc --status reports Active and a stable session, but my
RoCE flows look unchanged". Answered by the live-link /
contention rule in
the capabilities companion
No contention → no signal → no conclusion.
Activeplus an unchanged traffic curve is not evidence that the algorithm failed to take over from factory CC. A CC algorithm has no observable behaviour without actual contention on the fabric, so an idle-link or contention-absent run is uninformative by construction — it supports no verdict in either direction. Establish that the run actually generated contention before concluding anything, and never declare an algorithm either broken or safe on such a run. Rule in the capabilities companion.
doca-hardware-safety):
blast-radius bounded, observability gate proven, OOB
reachable, factory-PCC rollback rehearsed, escalation
path documented before any production cutover.doca_spcx_cc on my install, and is it paired
with the matching doca-pcc library and DPACC compiler
version?" — worked example: "is the SPCX surface
available on my DOCA install?". Answered by the
version-overlay in
the capabilities companion,
which redirects to the canonical
doca-version chain
and adds the tool ↔ doca-pcc library ↔ DPACC
compiler ↔ firmware custom-PCC slot match rule.doca_spcx_cc exits with
DOCA_PCC_PS_ERROR on start". Answered by the
layered error taxonomy in
the capabilities companion
This skill serves external developers, platform operators, and AI agents authoring, loading, and evaluating an SPCX-class Programmable Congestion Control algorithm on a BlueField with a DPA processor, against a live RDMA / RoCE fabric. Concretely:
doca-pcc-ztr-rttcc-algo
on the SPCX path when the install + algorithm support
it) and needs the operator-side harness to load,
parameterize, start, observe, and stop the algorithm.It is not for users debugging the doca_spcx_cc
binary itself, not a substitute for the live public
DOCA SPCX / DOCA PCC programming guides, not the
right place for the DPA-side algorithm authoring detail
(that path goes through the public DOCA SPCX programming
guide and the
doca-pcc +
doca-dpa skills), and
not the right place for default factory PCC
configuration (no host-side library or SPCX tool needed;
route via
doca-public-knowledge-map).
The tool is shipped as a CLI binary under
/opt/mellanox/doca/tools/, not a library you link
against. The skill uses the same kind: tool
three-file shape as the rest of the bundle so the
agent's task-verb contract is uniform across libraries,
services, and tools.
doca_spcx_cc is a C host-side CLI that links the
host-side doca-pcc
library and loads a DPA-side SPCX algorithm image built
by the DPACC compiler. The algorithm body is a separate
DPA-side translation unit written in the language DPACC
accepts. The skill keeps workflow guidance
language-neutral and routes per-language questions to
the public DOCA SPCX / DOCA PCC / DPACC guides via
doca-public-knowledge-map.
Load this skill when the user is — or the agent needs to
— invoke doca_spcx_cc on a real host with DOCA
installed, paired with a BlueField that has its DPA
processor exposed AND the firmware custom-PCC slot
enabled, against a port carrying RDMA / RoCE traffic with
actual contention. Concretely:
doca-pcc paths for the same
algorithm class on the same install (where both paths
are available) and deciding which to commit to.DOCA_PCC_PS_ERROR or a silent-no-effect
symptom against the layered error taxonomy.Do not load this skill for general DOCA orientation,
DPA-side algorithm authoring detail, raw cycle profiling
of the DPA, the factory PCC algorithm shipped in the
firmware, or DOCA install. For those, route to
doca-public-knowledge-map,
doca-pcc,
doca-dpa, or
doca-setup.
This is a thin loader. Substantive material lives in two companion files:
doca-pcc: DPA-capable
BlueField + firmware custom-PCC slot enabled +
doca_pcc_cap_* agreement) extended with SPCX-specific
availability, the version overlay (tool ↔ library ↔
DPACC ↔ firmware), the layered error taxonomy
(install / device-binding / fw-slot / DPA-image /
algorithm-precondition / live-link-precondition /
runtime / version / cross-cutting), the observability
surface, and the heavily-overlaid safety posture (a
wrong CC algorithm on production can melt the
fabric).install (host-side DOCA install + DPA
prerequisites + firmware custom-PCC slot), configure
(SPCX-vs-PCC decision + role + algorithm + parameters
build (route to install —
the host-side tool is shipped; the DPA-side algorithm
is user-built by DPACC), modify (refuse — do not
patch the binary; modify the invocation, algorithm,
and parameters), run (the
prepare → smoke → contention-positive evaluation
flow), test (iterative loop on the replica before
production), debug (walk the error taxonomy),
use (the "safe to roll forward" decision with
evidence + rollback + escalation), plus a Deferred task verbs block.The skill assumes a host where DOCA is already installed, a BlueField with a DPA processor and the firmware-level custom-PCC slot enabled is present and visible, the DPACC compiler is installed at a version matched to the host-side DOCA, the user already knows how (at sketch level) to write the DPA-side SPCX algorithm (or has a shipped reference algorithm to consume), and a non-prod RDMA / RoCE fabric with controllable contention is available for evaluation.
This skill is agent guidance, not a samples or scripts bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
--help.
This surface still evolves; the installed --help is the
authoritative inventory.samples/ or reference/ subtree. This is
a thin loader for a shipped CLI; substantive
material lives on the public page, in --help,
and in
doca-pcc +
doca-dpa.install, configure, build,
modify, run, test, debug, use — see
the tasks companion.doca-pcc — the host-side
Programmable Congestion Control library SPCX builds on and links.
The SPCX-vs-PCC decision tree in
the capabilities companion
is the load-bearing routing rule; conflating the two is the most
common programmable-CC first-touch error.doca-pcc-ztr-rttcc-algo
— the shipped reference zero-touch RTT-based CC algorithm; the
algorithm-side pair to this tool's operator-side workflow when
deploying a reference algorithm rather than authoring one.doca-dpa — the DPA control
library the algorithm's DPA-side body builds on: kernel-launch
model, DPACC build flags, DPA-side comms / verbs.doca-rdma — the RDMA / RoCE
flows being controlled. Without traffic in flight and contention
on the fabric the algorithm has no signal; surface this
precondition before any evaluation.doca-pcc-counters — read-only
PCC counter inspection; the cheaper "is anything happening on
this port" step before or during an SPCX evaluation.doca-hardware-safety —
the bundle-wide hardware-safety meta-policy this skill's
## Safety policy layers on. Deploying a wrong CC algorithm on a
production fabric is a meta-policy STOP case.doca-public-knowledge-map
— routing to the public SPCX, PCC, and DPA / DPACC guides.doca-version — canonical DOCA
version handling. ## Version compatibility in
the capabilities companion adds the tool ↔ doca-pcc
↔ DPACC ↔ firmware custom-PCC slot matching rule.doca-setup — env preparation,
install and DPACC compiler verification, BlueField firmware
configuration (the custom-PCC slot is a firmware-level setting),
and the no install yet path via the public NGC DOCA container.doca-debug — the cross-cutting
debug ladder. Cross-link runtime evidence and counter snapshots
into a doca-debug session when the cause sits below DOCA.doca-structured-tools-contract
— the detect → prefer → fall back → report contract the command
appendix in the tasks companion honors.doca-programming-guide
— shared DOCA programming patterns, including the cross-library
DOCA_ERROR_* taxonomy this tool's error layer overlays.The factory PCC algorithms inside ConnectX firmware are not in
scope: they work without doca_spcx_cc and are configured through
firmware knobs, not a host-side API. Route via
doca-public-knowledge-map.
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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.
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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.
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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'.
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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`.
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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.
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