Introduction

These resources are intended for the DPL RT Service

The DOCA Pipeline Language Runtime Service (DPL RT Service) is an NVIDIA® BlueField® service that implements the backend functionality to manage and program the DPU datapath.

This DPL RT Service includes a P4Runtime gRPC based server, that binds the P4Runtime protobuf interface to the underlying hardware driver APIs. The P4Runtime server listens on TCP port 9559, which is the port that has been allocated by IANA for the P4Runtime service. The server allows a P4 Controller to connect over gRPC so that it can set the ForwardingPipelineConfig, which installs and loads into hardware the compiled DPL program output and the associated P4Info metadata. Furthermore, the controller can query the target for the ForwardingPipelineConfig to retrieve the device config and the P4Info, as well as performing P4 table maintenance (which were defined in the P4 program source code).

Installation and Getting Started

All requirements and preparation steps to enable the DPL RT Service is explained in the DOCA Pipeline Language Services Guide.

Documentation

The DPL RT Service Guide is available here.
\nThe DPL RT Service Release Notes is available here.

License & EULA

DOCA is licensed under the NVIDIA DOCA License. By pulling and using the container and its resources, you accept the terms and conditions of this license.

Technical Support

Use the NVIDIA Developers forum for questions regarding this software.

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The P4Runtime server listens on TCP port 9559, which is the port that has been allocated by IANA for the P4Runtime service. The server allows a P4 Controller to connect over gRPC so that it can set the `ForwardingPipelineConfig`, which installs and loads into hardware the compiled DPL program output and the associated P4Info metadata. Furthermore, the controller can query the target for the `ForwardingPipelineConfig` to retrieve the device config and the P4Info, as well as performing P4 table maintenance (which were defined in the P4 program source code).\n\n## Installation and Getting Started\n\nAll requirements and preparation steps to enable the DPL RT Service is explained in the [DOCA Pipeline Language Services Guide](https://docs.nvidia.com/doca/sdk/doca+pipeline+language+services+guide/index.html).\n\n## Documentation\nThe DPL RT Service Guide is available [here](https://docs.nvidia.com/doca/sdk/doca+pipeline+language+services+guide/index.html).\\\nThe DPL RT Service Release Notes is available [here](https://docs.nvidia.com/doca/sdk/dpl+release+notes/index.html).\n\n## License & EULA\nDOCA is licensed under the [NVIDIA DOCA License](https://docs.nvidia.com/doca/sdk/eula/index.html#abstract). By pulling and using the container and its resources, you accept the terms and conditions of this license.\n\n## Technical Support\nUse the [NVIDIA Developers forum](https://forums.developer.nvidia.com/c/infrastructure/doca) for questions regarding this software.","displayName","DPL RT Service Resources",["D",1781187737090],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/doca/resources/dpl_rt_service","rawImageUrl","https://raw.githubusercontent.com/kbojo/images/master/Nvidia-Centric-DOCA.png","canGuestDownload","latestVersionSizeInBytes",32003,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[305,306,307,308,309,310,311,312],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_272":334,"_314":335,"_315":336,"_317":318},{"_272":330,"_314":331,"_315":332,"_317":318},{"_272":328,"_314":328,"_315":329,"_317":318},{"_272":326,"_314":326,"_315":327,"_317":318},{"_272":324,"_314":324,"_315":325,"_317":318},{"_272":322,"_314":322,"_315":323,"_317":318},{"_272":320,"_314":320,"_315":321,"_317":318},{"_272":313,"_314":313,"_315":316,"_317":318},"P4","value","filter",{"_319":318,"_314":313},"category","label","field","NSPECT-1BKK-GWW2",{"_319":318,"_314":320},"Networking",{"_319":318,"_314":322},"DPU",{"_319":318,"_314":324},"DPL",{"_319":318,"_314":326},"DOCA Service",{"_319":318,"_314":328},"DOCA","pltfm_doca",{"_319":333,"_314":331},"platform","Cloud Services","indus_cloud_services",{"_319":337,"_314":335},"industry",{"_158":1511,"_160":1512},"ngcApps",[1464],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1445":1446,"_1447":1448,"_1449":1450,"_1451":1452,"_1453":349,"_189":373,"_1454":1455,"_1456":56,"_1457":137,"_1458":137,"_1459":1460,"_1461":137,"_1462":1463},"amplitude",{"_1442":1443,"_1045":-7,"_1444":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1436":1437,"_1438":1439,"_1440":1441},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1320":232,"_1321":1322,"_1323":1324,"_1325":1326},"announcements",[],"consentState",{"_411":1310,"_1311":137,"_1312":31,"_1313":31,"_1314":1315},"consentConfig",{"_393":394,"_395":396,"_397":398,"_399":400,"_401":402,"_403":404,"_405":406,"_407":408,"_409":410,"_411":412},"showContactAdmin",1784273683897,[],[],[387,388,389,390,391,392],{"_45":60,"_47":70,"_49":153,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":69,"_49":153,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":67,"_49":153,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":61,"_49":153,"_51":-5,"_53":-5,"_55":56},{"_45":57,"_47":58,"_49":153,"_51":-5,"_53":-5,"_55":56},{"_45":46,"_47":48,"_49":153,"_51":-5,"_53":-5,"_55":56},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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Name	Size	Updated	Actions