개발 스킬

Implement memory copies with DOCA DMA, which transfers data using the device rather than the host CPU. Get guidance on initialization, buffer limits, memory permissions, task completion, and diagnosing errors against the locally installed SDK.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement a host-to-BlueField memory copy
• Check buffer size limits and scatter-gather support
• Investigate permission errors or missing task completion

Investigate DOCA build failures, runtime errors, and silent tools by checking each system layer. Get guidance on increasing log detail and collecting reproducible evidence for troubleshooting or a Developer Forum question.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify the layer behind a DOCA build or runtime failure
• Increase log detail for a silent DOCA tool
• Collect reproducible evidence for a forum question

Build and debug the shared foundations of DOCA applications on BlueField or ConnectX hardware. Get guidance on device capabilities, memory buffers, context lifecycles, task completion processing, and separate logging controls for the SDK and application.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up the foundations of a DOCA application
• Investigating tasks that submit but never complete
• Sharing memory buffers across DOCA libraries

Develop DOCA Rivermax applications that receive timing-sensitive video, audio, and other data over IP networks. Get guidance on receive stream setup, device capability checks, and troubleshooting errors or missing receive events.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up an SMPTE ST 2110 receive stream
• Investigate a stream that receives no frames
• Check supported clock and packet placement options

Implement and troubleshoot storage recovery with DOCA Erasure Coding. The skill guides parity generation, lost-block recovery, and incremental parity updates using Reed-Solomon coding, while checking device capabilities, block limits, and memory permissions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recover missing data or parity blocks
• Update parity after one data block changes
• Check device support for a storage layout

Configure DOCA GPI so CUDA kernels can initiate RDMA, direct remote memory access, without host CPU mediation. The skill guides channel setup, memory attachment, GPU handle handoff, library selection, and diagnosis of GPI errors.

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• Choose between GPI and GPUNetIO for GPU-driven communication
• Configure GPI channels and remote endpoint connections
• Pass a GPI channel handle to a CUDA kernel

Integrate DOCA SHA hardware into an existing OpenSSL workflow for one-shot hashing. The skill guides engine loading, checks whether hardware actually performed the work, and compares measured performance with CPU hashing to assess when offloading helps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Offload SHA hashing in an existing OpenSSL workflow
• Verify that hashing actually used DOCA hardware
• Compare hardware and CPU hashing performance

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• 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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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

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

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.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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