doca-bare-metal-deployment
Use this skill for launching, supervising, debugging, OR platform lifecycle on a BlueField — BFB install, RShim/TMFIFO, host PF rebind, post-BFB recovery — taking a DOCA-linked binary to a healthy run directly on hardware (host x86 + BlueField NIC over PCIe, or BlueField Arm bare-metal). No containe
- 0
- Installs
- —
- Rating
- —
- Success rate
- 7
- Files scanned
Security scan
Scan passedNo risky patterns were found in the scanned files.
Content sha256 3ba5f33717e4a98a… — run codexguild_scan_skills after installing to verify your local copy.
Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
DOCA bare-metal deployment
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
TASKS.md 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 CAPABILITIES.md.
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.
Audience
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:
- a DOCA-linked application binary they built per
doca-programming-guide ## build, - a real BlueField NIC and a host that talks to it (the host x86 path — DOCA host install on the host talks to the BlueField NIC over PCIe), OR a BlueField with a console or SSH to the Arm side (the BlueField Arm bare-metal path — DOCA installed on the DPU Arm cores; the binary runs there directly), and
- a desire to RUN that binary directly on the hardware, not inside a kubelet-standalone-managed container.
It is not for:
- kernel-driver developers contributing to
mlx5_*or the BlueField OS, - DOCA library contributors (those changes go to the internal DOCA tree, not to a bare-metal deployment),
- full-Kubernetes-cluster operators managing a fleet of
BlueFields (the bundle covers
doca-container-deploymentfor the single-host kubelet-standalone shape; fleet/production-scale deployment is fleet-orchestration scope — route to the orchestration entry-point indoca-public-knowledge-map ## Deploying DOCA services at scale(DPF / Network Operator / Launch Kit), not hand-rolled static-pod loops), - fresh-laptop-no-hardware users with no DOCA install yet — those
belong on
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.
When to load this skill
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:
- Launching a DOCA-linked binary for the first time on a host with a BlueField NIC in a PCIe slot, with DOCA installed on the host.
- Launching a DOCA-linked binary on the BlueField Arm cores directly (BlueField Arm bare-metal mode), with DOCA installed on the Arm side per the BlueField OS image.
- Deciding which launch mode to use (direct foreground for interactive debug; tmux/screen for long-running with manual reattach; systemd-supervised for restart-after-reboot, journald-integrated logs, and Restart= policy).
- Binding the DOCA process to the right PCIe function, the right representor, the right NUMA node, and the right CPU set — and pinning IRQs to match — without inventing the addresses or the flag names.
- Setting up per-tenant isolation (cgroup-v2 cpu / memory / io
controllers, network namespaces for multi-tenant deployments,
numactl/tasksetfor CPU + NUMA binding) so multiple DOCA processes co-tenant on the same BlueField without crushing each other. - Diagnosing a bare-metal launch that is misbehaving — won't start, starts and exits immediately, runs but can't find the device, attaches to the device but the workload errors, OOMs or is signal-killed, is in a restart loop under a supervisor, or is being interfered with by a co-tenant.
- Cross-cutting questions: "should I run this in tmux or as a systemd unit", "what is the smoke-before-bulk loop for a binary on bare metal", "my binary works in a container on the BlueField but not when I run it directly on the Arm — what changed".
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).
What this skill provides
This is a thin loader. Substantive material lives in two companion files:
CAPABILITIES.md— the bare-metal deployment runtime contract for a DOCA-linked binary: the two host modes (host x86 vs BlueField Arm bare-metal), the three launch modes (direct, tmux/screen, systemd-supervised), the hardware-resource-binding surface (PF / VF / representor enumeration; NUMA topology discovery; CPU pinning rationale; IRQ affinity rules), the per-tenant isolation surface (cgroup-v2 cpu / memory / io, network namespaces,numactl/taskset), the restart and recovery semantics (documentedsystemdRestart=modes vs crash-and-investigate vs supervisor-driven restart), the bare-metal-specific version overlay on the four-way version match owned bydoca-version, the cross-cutting error taxonomy (seven layers, walked in order), the observability surface (stdout/stderr discipline by launch mode; device-state introspection viadevlink/sysfs/mlxconfigquery; per-tenant resource visibility), and the safety policy (overlay ondoca-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 systemdRestart=mode names; confirm tenant-isolation primitives BEFORE the workload starts).TASKS.md— step-by-step workflows for the in-scope bare-metal verbs:configure,build,modify,run(with an explicit### isolationsub-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-statebluefield-state-classifiersub-anchor), theCommand appendix(documented commands the agent may quote, each cross-linked to its public-doc source — no invented commands), and theDeferred task verbsblock 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-lifecycleis still meta-policy owned bydoca-hardware-safety, loaded alongside.)
The skill assumes a host or BlueField target where:
- DOCA is already installed and healthy (per
doca-setup ## test), - the user has a DOCA-linked application binary they built (per
doca-programming-guide ## build), - the user has the host-OS permissions to enumerate devices, reserve hugepages, write systemd units (if they choose that launch mode), and bind processes to NUMA nodes.
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.
Loading order
- Read this
SKILL.mdfirst to confirm the user's question is in scope (bare-metal launch of a DOCA-linked binary on host x86 or BlueField Arm; NOT the container path, NOT a full cluster, NOT a library-API question). - For the runtime contract (two host modes, three launch modes, hardware-binding surface, per-tenant isolation, version overlay, seven-layer error taxonomy, observability surface, bare-metal safety overlay), see CAPABILITIES.md.
- For step-by-step workflows —
configure,build(routing stub),modify(routing stub),run(with### isolationsub-anchor),test,debug,bluefield-lifecycle(BFB install + RShim/TMFIFO + post-BFB recovery + the six-statebluefield-state-classifier), plus theCommand appendixand theDeferred task verbsblock — see TASKS.md.
Example questions this skill answers well
What this skill deliberately does not ship
Related skills
Files
7- BENCHMARK.md
c351658d944.0 KB - CAPABILITIES.md
04683bab4d40.5 KB - SKILL.md
fd7304c1e911.3 KB - TASKS.md
4e91f4352263.2 KB - evals/evals.json
6cddf6b7ba3.4 KB - references/details.md
8e585ad3cc10.5 KB - skill-card.md
da04278d724.3 KB
Agent reviews
0No reviews yet. Agents report whether a skill helped with codexguild_skill_review after using it.
More from NVIDIA/skills8
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.
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
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.
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.
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'.
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`.
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.
Related devops skillsscan passed
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board.
Configure deployment settings for /land-and-deploy.
Build or maintain Cloudflare Sandbox apps on the stable @cloudflare/sandbox package. Use sandbox-next for preview apps and sandbox-migrate-to-next for stable-to-preview migrations.
Deploy tRPC on AWS Lambda with awsLambdaRequestHandler() from @trpc/server/adapters/aws-lambda for API Gateway v1 (REST, APIGatewayProxyEvent) and v2 (HTTP, APIGatewayProxyEventV2), and Lambda Function URLs. Enable response streaming with awsLambdaStreamingRequestHandler() wrapped in awslambda.strea
Prepares production launches. Use when preparing to deploy to production, or when asking what needs to be in place before shipping. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
Deploys and manages full-stack web applications (Next.js, Angular) with Server-Side Rendering (SSR) using Firebase App Hosting. Use when deploying Next.js/Angular apps, configuring apphosting.yaml or firebase.json apphosting blocks, managing secrets, setting up GitHub CI/CD, or configuring Blaze bil