Introduction

Advances in AI video understanding and interaction have the potential to revolutionize how we access, analyze, and interact with video content in various domains.\nThese AI models are capable of:

Video captioning-Generating text descriptions or summary of videos.
Question answering-Answering questions about a video's content.
Video retrieval-Finding specific videos (highlights) based on text queries.
Action recognition-Identifying actions happening in the video.

The current release of Video Search and Summarization Agent (VSS) demonstrates Video Summarization, Q&A and alerts with accelerated performance on NVIDIA hardware.

Features

VSS supports video upload, live stream support, summarizing on video files, image files and live streams with various configuration options. Features:

Faster/Quick Long video processing
Image / Multi-Image support
Live Stream (RTSP) support
Supported file formats: mp4, mkv, jpg, png
Supported codecs: h264/h265 video and Opus/Vorbis audio
Summarization for videos, images, and live streams
Q&A for files, images and live-streams
Event & Alerts
vLLM acceleration for Cosmos-Reason1 and Cosmos-Reason2
Multi Node multiple GPU support
Context aware RAG support for enhanced accuracy & Q&A\n
- Graph RAG
- Vector RAG
\n
Support for GPT-4o as the VLM and LLM
Use OpenAI Compatible hosted VLM models
Drop-in support for custom VLMs
Guardrails support
OpenAI Compatible REST API
Multi-stream support
Use of Riva ASR based audio transcription in summarization, QnA, and alerts
CV pipeline to generate CV metadata and Set of Marks (SOM) Prompting for videos and live streams

Architecture

$\"VSS$

User Guide

User Guide is available at: https://docs.nvidia.com/vss/index.html

NOTE: This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.

Deployment Note

The Video Search and Summarization Blueprint is shared as reference and is provided \"as is\". The security in the production environment is the responsibility of the end users deploying it. When deploying in a production environment, please have security experts review any potential risks and threats; define the trust boundaries, implement logging and monitoring capabilities, secure the communication channels, integrate AuthN & AuthZ with appropriate access controls, keep the deployment up to date, ensure the containers/source code are secure and free of known vulnerabilities. The end users are also responsible for ensuring integrity and authenticity of the models and containers.

Known CVEs

VSS Engine 2.4.1 Container has the following known CVEs:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

CVE	Description
GHSA-58pv-8j8x-9vj2	This impacts jaraco.context < 6.1.0 python package. This does not affect VSS since it does not install user provided python packages.
CVE-2025-69223	This impacts aiohttp < 3.13.3 python package. This does not affect VSS since it gets included as a private package inside ray and ray is not used by VSS.
GHSA-f83h-ghpp-7wcc	This impacts pdfminer.six < 20251230 python package. This does not affect VSS since it does not implement PDF parsing.
CVE-2025-68973	This impacts gnupg < 2.4.8. This does not affect VSS since it does not implement GPG encryption.
GHSA-mcmc-2m55-j8jj GHSA-mrw7-hf4f-83pf CVE-2025-62372	This impacts vLLM < 0.11.1 python package. This does not affect VSS since it does not support user provided embeddings.
CVE-2026-21441	This affects urllib3 < 2.6.3 python package. This does not affect VSS since it does not access user provided URLs at runtime.
CVE-2025-3887	This impacts GStreamer H.265 codec parser, Malicious malformed streams can cause stack overflow in H.265 codec parser causing the application to crash. Users must take care that malicious H.265 streams are not added to VSS. This can be remedied by building and installing the GStreamer1.24.2 codec parser library after applying the patch mentioned in https://gstreamer.freedesktop.org/security/sa-2025-0001.html.
GHSA-rcfx-77hg-w2wv	This impacts fastmcp < 2.14.0 python package. This does not affect VSS since it already used an updated version of MCP SDK.

VSS Engine 2.4.0 Container (previous version) has the following known CVEs:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

CVE	Description
CVE-2024-8966	This impacts gradio <= 5.22.0 python package, This impacts the file upload functionality of Gradio UI where an attacker can cause Denial-of-Service (DoS) attack by appending a large number of characters to the end of a multipart boundary. This does not affect VSS since the underlying root cause is already fixed by having a newer version 0.0.18 of python-multipart which does not have this vulnerability.
CVE-2025-4565	This impacts protobuf < 4.25.8 python package, This impacts parsing of untrusted Protocol Buffers data containing an arbitrary number of recursive groups, recursive messages or a series of SGROUP tags leading to unbounded recursions and potential Denial-of-Service when protobuf pure-Python backend is used. This does not affect VSS since python backend of protobuf is not used.
CVE-2025-3887	This impacts GStreamer H.265 codec parser, Malicious malformed streams can cause stack overflow in H.265 codec parser causing the application to crash. Users must take care that malicious H.265 streams are not added to VSS. This can be remedied by building and installing the GStreamer1.24.2 codec parser library after applying the patch mentioned in https://gstreamer.freedesktop.org/security/sa-2025-0001.html.

GOVERNING TERMS

This blueprint is governed by the NVIDIA Software License Agreement\nand Product-Specific Terms for NVIDIA AI Products and enables use of separate open source and proprietary software and models governed by their respective licenses: NVIDIA Cosmos-Reason2-8B, NVIDIA Cosmos Reason 1-7B, ReIdentificationNet, Grounding Dino, Facebook Research SAM2, Llama 3.1 70B Instruct NIM, NVIDIA Retrieval QA Llama 3.2 1B Reranking v2 NIM, and NVIDIA Retrieval QA Llama 3.2 1B Embedding v2 NIM. Use of the sample data is governed by the NVIDIA Sample Data License. ADDITIONAL INFORMATION: Apache 2.0 for SAM2. Llama 3.1 Community License Agreement and Llama 3.2 Community License Agreement. Built with Llama.

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Features:\n\n- Faster/Quick Long video processing\n- Image / Multi-Image support\n- Live Stream (RTSP) support\n- Supported file formats: mp4, mkv, jpg, png\n- Supported codecs: h264/h265 video and Opus/Vorbis audio\n- Summarization for videos, images, and live streams\n- Q&A for files, images and live-streams\n- Event & Alerts\n- vLLM acceleration for Cosmos-Reason1 and Cosmos-Reason2\n- Multi Node multiple GPU support\n- Context aware RAG support for enhanced accuracy & Q&A\n - Graph RAG\n - Vector RAG\n- Support for GPT-4o as the VLM and LLM\n- Use OpenAI Compatible hosted VLM models\n- Drop-in support for custom VLMs\n- Guardrails support\n- OpenAI Compatible REST API\n- Multi-stream support\n- Use of Riva ASR based audio transcription in summarization, QnA, and alerts\n- CV pipeline to generate CV metadata and Set of Marks (SOM) Prompting for videos and live streams\n\n## Architecture\n\n![VSS Architecture](https://assets.ngc.nvidia.com/products/api-catalog/video-search-and-summarization/diagram.jpg)\n\n## User Guide\n\nUser Guide is available at: https://docs.nvidia.com/vss/index.html\n\n\n**NOTE:** This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.\n\n\n## Deployment Note\nThe Video Search and Summarization Blueprint is shared as reference and is provided \"as is\". The security in the production environment is the responsibility of the end users deploying it. When deploying in a production environment, please have security experts review any potential risks and threats; define the trust boundaries, implement logging and monitoring capabilities, secure the communication channels, integrate AuthN & AuthZ with appropriate access controls, keep the deployment up to date, ensure the containers/source code are secure and free of known vulnerabilities. The end users are also responsible for ensuring integrity and authenticity of the models and containers.\n\n\n## Known CVEs\n\nVSS Engine 2.4.1 Container has the following known CVEs:\n\n\n| CVE | Description |\n|-------|------------------|\n|[GHSA-58pv-8j8x-9vj2](https://github.com/jaraco/jaraco.context/security/advisories/GHSA-58pv-8j8x-9vj2)| This impacts jaraco.context < 6.1.0 python package. This does not affect VSS since it does not install user provided python packages. |\n|[CVE-2025-69223](https://github.com/advisories/GHSA-6mq8-rvhq-8wgg)| This impacts aiohttp < 3.13.3 python package. This does not affect VSS since it gets included as a private package inside ray and ray is not used by VSS. |\n|[GHSA-f83h-ghpp-7wcc](https://github.com/advisories/GHSA-f83h-ghpp-7wcc)| This impacts pdfminer.six < 20251230 python package. This does not affect VSS since it does not implement PDF parsing. |\n|[CVE-2025-68973](https://nvd.nist.gov/vuln/detail/CVE-2025-68973)| This impacts gnupg < 2.4.8. This does not affect VSS since it does not implement GPG encryption. |\n|[GHSA-mcmc-2m55-j8jj](https://github.com/advisories/GHSA-mcmc-2m55-j8jj) [GHSA-mrw7-hf4f-83pf](https://github.com/advisories/GHSA-mrw7-hf4f-83pf) [CVE-2025-62372](https://github.com/advisories/GHSA-pmqf-x6x8-p7qw)| This impacts vLLM < 0.11.1 python package. This does not affect VSS since it does not support user provided embeddings. |\n|[CVE-2026-21441](https://github.com/advisories/GHSA-38jv-5279-wg99)| This affects urllib3 < 2.6.3 python package. This does not affect VSS since it does not access user provided URLs at runtime. |\n|[CVE-2025-3887](https://ubuntu.com/security/CVE-2025-3887)| This impacts GStreamer H.265 codec parser, Malicious malformed streams can cause stack overflow in H.265 codec parser causing the application to crash. Users must take care that malicious H.265 streams are not added to VSS. This can be remedied by building and installing the GStreamer1.24.2 codec parser library after applying the patch mentioned in https://gstreamer.freedesktop.org/security/sa-2025-0001.html. |\n|[GHSA-rcfx-77hg-w2wv](https://github.com/advisories/GHSA-rcfx-77hg-w2wv)| This impacts fastmcp < 2.14.0 python package. This does not affect VSS since it already used an updated version of MCP SDK. |\n\nVSS Engine 2.4.0 Container (previous version) has the following known CVEs:\n\n| CVE | Description |\n|-------|------------------|\n|[CVE-2024-8966](https://github.com/advisories/GHSA-5cpq-9538-jm2j)| This impacts gradio <= 5.22.0 python package, This impacts the file upload functionality of Gradio UI where an attacker can cause Denial-of-Service (DoS) attack by appending a large number of characters to the end of a multipart boundary. This does not affect VSS since the underlying root cause is already fixed by having a newer version 0.0.18 of python-multipart which does not have this vulnerability.|\n|[CVE-2025-4565](https://github.com/advisories/GHSA-8qvm-5x2c-j2w7)| This impacts protobuf < 4.25.8 python package, This impacts parsing of untrusted Protocol Buffers data containing an arbitrary number of recursive groups, recursive messages or a series of SGROUP tags leading to unbounded recursions and potential Denial-of-Service when protobuf pure-Python backend is used. This does not affect VSS since python backend of protobuf is not used.|\n|[CVE-2025-3887](https://ubuntu.com/security/CVE-2025-3887)| This impacts GStreamer H.265 codec parser, Malicious malformed streams can cause stack overflow in H.265 codec parser causing the application to crash. Users must take care that malicious H.265 streams are not added to VSS. This can be remedied by building and installing the GStreamer1.24.2 codec parser library after applying the patch mentioned in https://gstreamer.freedesktop.org/security/sa-2025-0001.html. |\n\n## GOVERNING TERMS\nThis blueprint is governed by the [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/)\nand [Product-Specific Terms for NVIDIA AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/) and enables use of separate open source and proprietary software and models governed by their respective licenses: [NVIDIA Cosmos-Reason2-8B](https://huggingface.co/nvidia/Cosmos-Reason2-8B), [NVIDIA Cosmos Reason 1-7B](https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/cosmos-reason1-7b?version=1), [ReIdentificationNet](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/reidentificationnet?version=deployable_v1.2), [Grounding Dino](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tao/models/grounding_dino?version=grounding_dino_swin_tiny_commercial_trainable_v1.0), [Facebook Research SAM2](https://github.com/facebookresearch/sam2), [Llama 3.1 70B Instruct NIM](https://catalog.ngc.nvidia.com/orgs/nim/teams/meta/containers/llama-3.1-70b-instruct?version=1.15), [NVIDIA Retrieval QA Llama 3.2 1B Reranking v2 NIM](https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/llama-3.2-nv-rerankqa-1b-v2?version=1.8.0), and [NVIDIA Retrieval QA Llama 3.2 1B Embedding v2 NIM](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo-microservices/containers/llama-3.2-nv-embedqa-1b-v2?version=1.6.1-rc0). Use of the sample data is governed by the [NVIDIA Sample Data License](https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization/blob/main/LICENSE.DATA). **ADDITIONAL INFORMATION**: [Apache 2.0](https://github.com/facebookresearch/sam2/blob/main/LICENSE) for SAM2. [Llama 3.1 Community License Agreement](https://www.llama.com/llama3_1/license/) and [Llama 3.2 Community License Agreement](https://www.llama.com/llama3_2/license/). Built with Llama.","displayName","AI Blueprint for Video Search and Summarization",["D",1769615962845],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/blueprint/helm-charts/nvidia-blueprint-vss","rawImageUrl","https://developer.download.nvidia.com/images/vss-banner.png","canGuestDownload","latestVersionSizeInBytes",140493,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[516,517,518,519,520,521,522,523,524,525,526],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_483":563,"_528":564,"_530":565,"_532":533},{"_483":560,"_528":561,"_530":562,"_532":533},{"_483":556,"_528":557,"_530":558,"_532":533},{"_483":554,"_528":554,"_530":555,"_532":533},{"_483":552,"_528":552,"_530":553,"_532":533},{"_483":550,"_528":550,"_530":551,"_532":533},{"_483":547,"_528":548,"_530":549,"_532":533},{"_483":544,"_528":545,"_530":546,"_532":533},{"_483":540,"_528":541,"_530":542,"_532":533},{"_483":536,"_528":537,"_530":538,"_532":533},{"_483":527,"_528":529,"_530":531,"_532":533},"Vision AI","value","soln_vision_ai","filter",{"_534":535,"_528":529},"category","label","field","technology","Video Analytics","uscs_video_analytics",{"_534":539,"_528":537},"application","Smart Cities / Spaces","indus_smart_cities_spaces",{"_534":543,"_528":541},"industry","Retail","indus_retail",{"_534":543,"_528":545},"Question Answering","uscs_question_answering",{"_534":539,"_528":548},"NSPECT-Z2LM-L59M",{"_534":533,"_528":550},"NSPECT-O32Q-8OPM",{"_534":533,"_528":552},"NSPECT-0FFK-BSYS",{"_534":533,"_528":554},"Metropolis Microservices","pltfm_metropolis_microservices",{"_534":559,"_528":557},"platform","Computer Vision","soln_computer_vision",{"_534":535,"_528":561},"AI","soln_ai",{"_534":535,"_528":564},{"_364":1742,"_366":1743},"ngcApps",[1695],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1676":1677,"_1678":1679,"_1680":1681,"_1682":1683,"_1684":577,"_396":601,"_1685":1686,"_1687":56,"_1688":343,"_1689":343,"_1690":1691,"_1692":343,"_1693":1694},"amplitude",{"_1673":1674,"_1275":-7,"_1675":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1667":1668,"_1669":1670,"_1671":1672},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.7.3","defaultSearchSuggestions",{"_1550":682,"_1551":1552,"_1553":1554,"_1555":1556},"announcements",[],"consentState",{"_639":1540,"_1541":343,"_1542":31,"_1543":31,"_1544":1545},"consentConfig",{"_621":622,"_623":624,"_625":626,"_627":628,"_629":630,"_631":632,"_633":634,"_635":636,"_637":638,"_639":640},"showContactAdmin",1784117675758,[],[],[615,616,617,618,619,620],{"_45":59,"_47":70,"_49":359,"_51":-5,"_53":-5,"_55":56},{"_45":59,"_47":68,"_49":359,"_51":-5,"_53":-5,"_55":56},{"_45":59,"_47":66,"_49":359,"_51":-5,"_53":-5,"_55":56},{"_45":59,"_47":60,"_49":359,"_51":-5,"_53":-5,"_55":56},{"_45":57,"_47":58,"_49":359,"_51":-5,"_53":-5,"_55":56},{"_45":46,"_47":48,"_49":359,"_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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They are capable of tracking your browser across other sites and building up a profile of your interests. This may impact the content and messages you see on other websites you visit. If you do not allow these cookies you may not be able to use or see these sharing tools.","alwaysActive","order",11,"cookies",[],"hosts",[],"C0004","Advertising Cookies","These cookies record your visit to our websites, the pages you have visited and the links you have followed to influence the advertisements that you see on other websites. These cookies and the information they collect may be managed by other companies, including our advertising partners, and may be used to build a profile of your interests and show you relevant advertising on other sites. We and our advertising partners will use this information to make our websites and the advertising displayed on it, more relevant to your interests.",5,[791,792,793,794,795,796,797,798,799,800,801,802,803,804,805,806,807,808,809,810,811,812,813,814,815,816,817,818,819,820,821,822,823,824,825],[663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679],{"_680":787,"_483":787,"_425":682,"_653":788},{"_680":782,"_483":782,"_425":682,"_653":783},{"_680":778,"_483":778,"_425":682,"_653":779},{"_680":773,"_483":773,"_425":682,"_653":774},{"_680":768,"_483":768,"_425":682,"_653":769},{"_680":756,"_483":756,"_425":682,"_653":757},{"_680":744,"_483":744,"_425":682,"_653":745},{"_680":739,"_483":739,"_425":682,"_653":740},{"_680":728,"_483":728,"_425":682,"_653":729},{"_680":723,"_483":723,"_425":682,"_653":724},{"_680":718,"_483":718,"_425":682,"_653":719},{"_680":713,"_483":713,"_425":682,"_653":714},{"_680":708,"_483":708,"_425":682,"_653":709},{"_680":703,"_483":703,"_425":682,"_653":704},{"_680":698,"_483":698,"_425":682,"_653":699},{"_680":691,"_483":691,"_425":682,"_653":692},{"_680":681,"_483":681,"_425":682,"_653":683},"hostName","amazon-adsystem.com","",[684,685],{"_75":690,"_687":681,"_688":31,"_425":689},{"_75":686,"_687":681,"_688":31,"_425":689},"ad-privacy","host","isSession","This domain is owned by online retailer Amazon and is used as part of its affiliate marketing programme.","ad-id","doubleclick.net",[693,694],{"_75":697,"_687":691,"_688":31,"_425":696},{"_75":695,"_687":691,"_688":31,"_425":696},"IDE","This domain is owned by Doubleclick (Google). 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It is used as a URL shortening service, which allows Twitter to collect data on how links are shared.","snowplow.com",[720],{"_75":721,"_687":718,"_688":31,"_425":722},"sp","Testing","google.com",[725],{"_75":726,"_687":723,"_688":31,"_425":727},"NID","This domain is owned by Google Inc. Although Google is primarily known as a search engine, the company provides a diverse range of products and services. Its main source of revenue however is advertising. Google tracks users extensively both through its own products and sites, and the numerous technologies embedded into many millions of websites around the world. It uses the data gathered from most of these services to profile the interests of web users and sell advertising space to organisations based on such interest profiles as well as aligning adverts to the content on the pages where its customer's adverts appear.","tags.srv.stackadapt.com",[730,731,732,733],{"_75":738,"_687":728,"_688":31,"_425":735},{"_75":737,"_687":728,"_688":31,"_425":735},{"_75":736,"_687":728,"_688":31,"_425":735},{"_75":734,"_687":728,"_688":31,"_425":735},"sa-user-id-v3","This domain is associated with StackAdapt, a platform for programmatic advertising, which suggests that it is used for targeting and advertising purposes.","sa-user-id","sa-user-id-v2","sa-user-id-v4","linkedin.com",[741],{"_75":742,"_687":739,"_688":31,"_425":743},"bcookie","This domain is owned by LinkedIn, the business networking platform. 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Where twitter acts as a third party host, it collects data through a range of plug-ins and integrations, that is primarily used for tracking and targeting.","guest_id_marketing","guest_id","Twitter does not currently provide information on the use of specific cookies.","guest_id_ads","youtube.com",[758,759,760,761],{"_75":767,"_687":756,"_688":31,"_425":765},{"_75":766,"_687":756,"_688":31,"_425":765},{"_75":764,"_687":756,"_688":31,"_425":765},{"_75":762,"_687":756,"_688":31,"_425":763},"VISITOR_INFO1_LIVE","This cookie is used as a unique identifier to track viewing of videos","__Secure-YNID","YouTube is a Google owned platform for hosting and sharing videos. YouTube collects user data through videos embedded in websites, which is aggregated with profile data from other Google services in order to display targeted advertising to web visitors across a broad range of their own and other websites.","__Secure-YEC","__Secure-ROLLOUT_TOKEN","demdex.net",[770],{"_75":771,"_687":768,"_688":31,"_425":772},"demdex","This cookie helps Adobe Audience Manger perform basic functions such as visitor identification, ID synchronization, segmentation, modeling, reporting, etc.","im-apps.net",[775],{"_75":776,"_687":773,"_688":31,"_425":777},"receive-cookie-deprecation","This domain is owned by im-apps.net which provides information and resources about various instant messaging (IM) applications to help users make informed decisions based on their communication needs.","influ2.com",[780],{"_75":781,"_687":778,"_688":31,"_425":722},"R","6sc.co",[784],{"_75":785,"_687":782,"_688":31,"_425":786},"6suuid","This domain is associated with the company 6Sense Insights, Inc., which provides predictive analytics and account engagement services. 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It stores a unique visitor identifier, and uses an organisation identifier to allow a company to track users across their domains and services.This is a pattern type cookie name associated with Adobe Marketing Cloud. It stores a unique visitor identifier, and uses an organisation identifier.","kndctr_F207D74D549850760A4C98C6_AdobeOrg_identity","_rdt_pn","www.nvidia.com","This cookie name is associated with www.mind.org.uk which is used for marketing purposes.","ai-podcast.nvidia.com","This cookie is used to identify the user's session on the website and is often associated with analytics or personalization.","_gcl_au","Used by Google AdSense for experimenting with advertisement efficiency across websites using their services","_mkto_trk","This cookie is associated with an email marketing service provided by Marketo. This tracking cookie allows a website to link visitor behaviour to the recipient of an email marketing campaign, to measure campaign effectiveness.","_gat_gtag_UA_140825383_2","Google Analytics","_zitok","This cookie name is associated with ZoomInfo which is used to maintain a unique visitor identifier and store Personally Identifiable Information.","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","AMP_91bf70adfe","Supports Amplitude product analytics.","This cookie name is associated with StackAdapt Inc. which is used to support the effective management and optimization of digital advertising campaigns by handling information such as visitor actions on websites, visited pages, time spent, page load speed, and more.","build.nvidia.com","kndctr_F207D74D549850760A4C98C6_AdobeOrg_cluster","_cs_nnnnnnnnnnnnn","This is a session cookie. 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It is commonly used for analytics and personalization of content.","marketplace.nvidia.com","AMP_MKTG_92dea1e784","This cookie is typically associated with SnackTools, which is a suite of web applications for creating and sharing multimedia content. It is used to identify a user across sessions and track user activities.","forums.developer.nvidia.com","This cookie is typically associated with the use of Taptap Digital, a company specializing in digital advertising. It is used for tracking and ad personalization purposes.","_tt_enable_cookie","This cookie name is associated with TikTok which is used to collect data about behavior and purchases on the website and to measure the effect of advertising. It is also used to track website activity to help optimize advertising efforts.","AMCV_xxxxxAdobeOrg","This cookie is used to identify a unique visitor for tracking purposes by Adobe Experience Cloud.This is a pattern type cookie name associated with Adobe Marketing Cloud. It stores a unique visitor identifier, and uses an organisation identifier to allow a company to track users across their domains and services.","ttcsid","This cookie name is associated with TikTok which is used to enable TikTok Ads session tracking by assigning a unique session ID to users who click on TikTok ads, allowing for the attribution of user behavior and conversions within the same session.This cookie is associated with TikTok. It helps track your activity on the platform, including how you interact with their embedded services on other websites.","AMP_MKTG_91bf70adfe","C0003","Personalization Cookies","These cookies collect data about how you have interacted with our website to help us improve your web experience, such as which pages you have visited. These cookies may store a unique ID so that our system will remember you when you return. They may be set by us or by third party providers whose services we have added to our pages. These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. If you do not allow these cookies, then some or all of these services may not function properly.",4,[914,915,916,917,918,919,920,921,922,923,924,925,926,927,928,929,930,931,932,933,934],[879,880,881,882,883],{"_680":773,"_483":773,"_425":682,"_653":905},{"_680":739,"_483":739,"_425":682,"_653":900},{"_680":893,"_483":893,"_425":682,"_653":894},{"_680":889,"_483":889,"_425":682,"_653":890},{"_680":884,"_483":884,"_425":682,"_653":885},"nvcrm.my.site.com",[886],{"_75":887,"_687":884,"_688":31,"_425":888},"BrowserId","If you know anything about this cookie and its uses that are not specific to a particular site please add your contributions.","nvidia.partners",[891],{"_75":892,"_687":889,"_688":31,"_425":722},"edge","github.com",[895,896],{"_75":899,"_687":893,"_688":31,"_425":898},{"_75":897,"_687":893,"_688":31,"_425":898},"logged_in","This domain is owned by Github. 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The data is aggregated and analyzed; therefore, it remains anonymous upon use.\n","nvHeadless","This cookie is likely used to track if a user is using the site in a 'headless' non-GUI mode, which could be for accessibility reasons or for automated processes.","_biz_nA","C0002","Performance Cookies","These cookies are used to provide quantitative measures of our website visitors, such as the number of times you visit, time on page, your mouse movements, scrolling, clicks and keystroke activity on the websites; other browsing, search, or product research behavior; and what brought you to our site. These cookies may store a unique ID so that our system will remember you when you return. 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