开发技能

Build DOCA applications that send and receive network packets directly from CUDA code on an NVIDIA GPU. Get guidance on connecting queues, registering GPU memory, checking hardware capabilities, and diagnosing GPUNetIO setup and runtime errors.

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• Receive network packets directly inside a CUDA kernel
• Check which GPU supports the required networking features
• Register CUDA-allocated buffers for DOCA queues

Build and troubleshoot data transfers with DOCA RDMA, which accesses remote memory over a network adapter. Start from installed samples, choose connection methods and permissions, check device capabilities, and investigate missing completions or queue errors.

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• Building data transfers between processes or hosts
• Diagnosing permission errors in remote reads and writes
• Investigating missing completions or queue saturation

Build and troubleshoot custom plug-ins for workloads that doca-bench cannot measure with its built-in modes. Use the shipped CUDA example to guide shared-library construction, check loading and version compatibility, and verify a small test before larger runs.

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• Checking whether a workload needs a custom extension
• Building a GPU benchmark plug-in from the shipped example
• Diagnosing a custom shared library that will not load

Build and troubleshoot applications that move DEFLATE compression and decompression, or LZ4 decompression, to DOCA-supported hardware. Guidance covers device capabilities, buffer sizes, memory permissions, validation, and deciding when CPU processing is more suitable.

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• Moving bulk DEFLATE compression to hardware
• Decompressing incoming network data
• Checking device support and buffer limits

Load and configure a custom congestion control algorithm on a BlueField DPU from the host. The skill guides port attachment, capability checks, and troubleshooting when loading fails or the algorithm has no effect on RoCE traffic.

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• Load a custom algorithm onto a BlueField port
• Check device and firmware support for custom PCC
• Diagnose algorithm loading errors

Build packet steering rules, which direct network traffic by matching its properties, with DOCA Flow on NVIDIA NICs or DPUs. Adapt shipped samples, validate rules against installed APIs and hardware capabilities, and investigate counters or runtime errors.

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• Route traffic matching address and port conditions
• Bring up Flow ports
• Validate rules before programming hardware

Guide DOCA Management programming for BlueField and ConnectX devices. Set up management contexts, query capabilities, change device settings, and investigate errors, using installed reference samples and checks before and after changes.

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• Querying BlueField device capabilities in a fleet tool
• Changing data-direct settings for a virtual function
• Setting ICM quotas for devices or representors

Develop host-side applications that run work on BlueField's DPA, a data-path processor. Load compiled application images, launch kernels, observe completion, check supported features, and investigate errors involving hardware capabilities or DOCA and DPACC compatibility.

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• Loading a DPA application image and launching kernels from the host
• Investigating missing kernel completion notifications
• Checking which DPA features a BlueField supports

Build a first DOCA application by adapting an installed sample. Get guidance on build configuration, object setup and shutdown order, and common errors, plus how other languages access DOCA through its public C interface.

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• Adapting an installed sample into a first DOCA application
• Configuring a build with pkg-config and meson
• Checking object lifecycle order and common errors

Helps add DOCA capabilities to an existing DPDK packet-processing application. Guides port mapping, packet-buffer conversion, compatibility checks, builds, and debugging so developers can integrate DOCA while retaining their existing packet-processing code.

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• Add DOCA capabilities to an existing DPDK application
• Map a DPDK port to a DOCA device
• Convert between DPDK and DOCA packet buffers

Modify command-line options in DOCA applications while preserving standard flags. This skill guides parameter registration, parser lifecycle, JSON configuration, and error diagnosis using the installed SDK and its shipped samples.

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• Add custom flags to a DOCA sample
• Load application settings from a JSON file
• Diagnose argument registration and value errors

Connect existing DOCA Flow processing rules and resources to BlueField’s DPA processor. The skill guides export sequencing, operation queues, counter access, and entry or memory updates, and helps diagnose failures between host setup and device-side access.

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• Expose an existing DOCA Flow pipe to a DPA kernel
• Investigate exported entries that the kernel cannot see
• Check queues for counter access and entry updates

Configure DOCA Ethernet packet queues on BlueField or ConnectX devices. Get guidance on choosing receive queue types, submitting packets for transmission, checking device capabilities, and diagnosing errors while managing receive and transmit queues separately.

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• Setting up Ethernet receive and transmit queues
• Choosing a receive queue type for incoming data
• Checking burst limits and checksum offload support

Build SHA hashing applications for BlueField or ConnectX accelerators with guidance on single-request versus chunked processing, supported algorithms, buffer sizes, memory permissions, and errors returned by the DOCA SHA API.

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• Offloading SHA-256 hashing to BlueField
• Choosing single-request or chunked hashing
• Checking algorithm support and buffer limits

Build custom emulated PCIe devices that a host recognizes as peripherals while BlueField DPU code handles their operation. Get guidance on DOCA sub-library selection, capability checks, setup within an installed environment, and debugging device visibility or driver binding.

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• Expose a custom PCIe device to a host
• Choose PCI Generic, virtio-net, or virtio-fs
• Investigate missing devices or driver binding failures

Develop messaging between a host and BlueField using DOCA Comch. Guides server and client setup, selection of simple messaging or higher-throughput data transfer, capability checks, and diagnosis of connection, permission, and API errors.

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• Exchange control messages between a host and BlueField
• Choose a transfer mode for bulk data
• Check message-size and client-count limits

Build and debug DOCA RDMI applications that let a DPA accelerator directly access remote memory. Get guidance on connections, completion notifications, kernel handles, and API availability using the installed DOCA version and its reference samples.

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• Choosing between doca-rdmi and doca-rdma
• Configuring RDMI connections and DPA completion notifications
• Checking experimental APIs against the installed DOCA version

Customize NVIDIA Nemotron Voice Agent’s Generic Pipecat example for appointment scheduling, five-field patient intake, or a custom healthcare conversation. Build prompts and tool handlers without a separate backend, then validate conversation behavior, services, and voice interaction.

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• Build an appointment-scheduling voice agent
• Collect five patient-intake fields through conversation
• Design a custom healthcare conversation with tool calls

Start a cuOpt REST server and build Python or curl clients to submit routing and optimization problems. Follow result polling, translate Python API field names into REST fields, and diagnose rejected requests.

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• Start a cuOpt server locally or in Docker
• Submit a routing problem from Python
• Retrieve optimization results by polling

Modify NVIDIA cuOpt itself, covering C++/CUDA solver code, Python bindings, server endpoints, and CI. Follow project conventions for environment setup, builds, tests, debugging, and contributions, including the required sign-off for submitted changes.

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• Fixing solver internals and investigating numerical issues
• Changing Python APIs or server endpoints
• Setting up a development environment and running tests

Build video analytics applications with NVIDIA DeepStream and Python's pyservicemaker API. The skill guides video input, object detection, optional tracking, annotated output, and Kafka messaging, with configuration guidance and fixes for common pipeline errors.

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• Detect objects in video files or camera streams
• Track objects across video frames
• Send detection results to Kafka

Measure and tune a DeepStream video pipeline using Nsight Systems. The skill benchmarks inference batch sizes, derives configuration settings from measurements and GPU limits, and reports FPS, processing bottlenecks, and available timings for individual processing components.

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• Benchmark video processing FPS
• Tune settings for multiple video streams
• Identify processing bottlenecks

Get guidance on installing CUDA-Q, writing quantum processing functions, and choosing CPU or GPU simulation targets. Also covers connecting to quantum processors, running a Bell-state example, and selecting approaches for execution across multiple devices.

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• Installing CUDA-Q and checking a first example
• Choosing CPU or GPU simulation targets
• Writing and debugging Python quantum kernels

Port quantum circuits from Qiskit or other frameworks into CUDA-Q while preserving the original algorithm. Guides gate conversion, measurement ordering, precision checks, and small test comparisons to produce code that runs without the source framework.

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• Porting Qiskit circuits to CUDA-Q
• Comparing measurement results after migration
• Removing source framework dependencies