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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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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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.
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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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Build and run the GPUNetIO benchmark to measure sustained RDMA WRITE bandwidth, a remote-memory transfer rate driven by a CUDA kernel. Interpret results, investigate run-to-run variation, and identify GPU, network adapter, or link bottlenecks.
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Operate NVIDIA DOCA Management Service to read, change, and monitor BlueField or ConnectX settings locally or remotely. Get guidance on deployment, authentication, management requests, logs, and diagnosing failures across the service and its backend.
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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.
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Prepare an environment for evaluating speech recognition on clinical terms. Checks the API key and Python dependencies, then tests NVIDIA's hosted services by generating speech from one synthetic sentence and transcribing it before the next stage.
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Build and run a benchmark for RDMA WRITE, a direct memory transfer initiated by a CUDA kernel. Check GPU and network adapter pairing, interpret timing columns, and assess median latency, p99, and timing variation.
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Guides initial BlueField-4 setup through its BMC, the hardware management controller. Covers OS installation methods, firmware updates, post-install checks, and troubleshooting, with action-specific confirmation and maintenance safeguards for changes that can disrupt or damage the device.
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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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Deploy and troubleshoot a CollectX telemetry collector on a host or BlueField. Connect sources of device metrics, configure outputs such as Prometheus or Fluent Bit, and verify that collected measurements reach their downstream destination.
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Deploy and tune DOCA's supplied ZTR RTTCC algorithm on BlueField-3 to adjust RoCE-v2 traffic under congestion. Get guidance on sample integration, build-time variants, parameter changes, and diagnosing cases where the loaded algorithm appears inactive.
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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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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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Measure DOCA Flow rule update and disable rates when work runs on the device's DPA processor. Configure workloads, interpret repeated measurements in thousands of operations per second, and investigate zero-operation results or failed self-tests.
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Configure and troubleshoot DOCA Firefly time synchronization on BlueField. The skill helps decide whether high-precision PTP synchronization is needed, choose service settings, and check that the host clock follows BlueField's hardware clock.
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Analyze live or captured DOCA Flow pipelines to guide changes to rule placement, table sizing, and hardware offloading. The skill helps interpret snapshots, compare measurements before and after changes, and investigate missing or inconsistent tuning results.
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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.
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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.
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Model and solve optimization problems with cuOpt through Python, C/C++, or the command line. Choose linear, mixed-integer, or quadratic methods based on the decisions involved, configure stopping limits, and investigate infeasible or unbounded results.
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Run DeepStream's Multi-View 3D Tracking reference application on bundled samples or synchronized MP4 recordings. The skill guides setup, camera calibration integration, annotated and bird's-eye visualizations, saved video outputs, Kafka tracking metadata checks, and run cleanup.
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Prepare the KERMT environment by checking Docker and GPU access, building the local container image when needed, and testing whether PyTorch detects GPUs inside it. Report the image details and detected GPU count before other KERMT workflows begin.
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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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