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.

","resourceVersions",[189,190,191,192,193,194,195,196],"resourceVersionsTotal",7,"hasMoreVersions","versionMetadata",{"_163":21,"_164":-5,"_48":165,"_166":-5,"_167":168,"_169":170,"_171":78,"_172":16,"_173":30,"_174":175,"_176":84,"_177":-5,"_178":30,"_179":-5,"_180":30,"_181":-5,"_182":30,"_183":-5,"_184":30,"_185":-5,"_186":30,"_187":188},"versionNotFound","isLoggedIn","latestVersionPath","/orgs/nvidia/blueprint/helm-charts/nvidia-blueprint-vss/-","version","imageReference","cliDownloadCommand","helmFetchCommand","helm pull https://helm.ngc.nvidia.com/nvidia/blueprint/charts/nvidia-blueprint-vss-2.4.1.tgz","viewAllVersionsPath","/orgs/nvidia/blueprint/helm-charts/nvidia-blueprint-vss/2.4.1/version-history","accessCheckResult",{"_162":84},"hasRelatedCollections","context",{"_158":159,"_160":161},[],[],[152,153,154,155,156,157],{"_44":58,"_46":68,"_48":60,"_50":61,"_52":69,"_54":55},{"_44":58,"_46":67,"_48":60,"_50":61,"_52":19,"_54":55},{"_44":58,"_46":65,"_48":60,"_50":61,"_52":66,"_54":55},{"_44":58,"_46":59,"_48":60,"_50":61,"_52":62,"_54":55},{"_44":56,"_46":57,"_48":100,"_50":-5,"_52":-5,"_54":55},{"_44":45,"_46":47,"_48":49,"_50":51,"_52":53,"_54":55},"orgName","nvidia","teamName","blueprint","allowed","versionId","description","UPLOAD_COMPLETE","releaseType","createdDate",["D",1769615962152],"updatedDate",["D",1769615962845],"totalSizeInBytes","totalFileCount","isSigned","malwareScanStatus","CLEAN","isScanned","releaseNotes","hasReleaseNotes","setup","hasSetup","quickStartGuide","hasQuickStartGuide","advanced","hasAdvanced","performance","hasPerformance","policies",[],{"_74":210,"_76":211,"_166":-5,"_173":30,"_176":84,"_187":209,"_178":30},{"_74":21,"_76":21,"_166":-5,"_173":30,"_176":84,"_187":209,"_178":30},{"_74":207,"_76":207,"_166":-5,"_173":30,"_176":84,"_187":208,"_178":30},{"_74":205,"_76":205,"_166":-5,"_173":30,"_176":30,"_187":206,"_178":30},{"_74":203,"_76":203,"_166":-5,"_173":30,"_176":30,"_187":204,"_178":30},{"_74":201,"_76":201,"_166":-5,"_173":30,"_176":30,"_187":202,"_178":30},{"_74":199,"_76":199,"_166":-5,"_173":30,"_176":30,"_187":200,"_178":30},{"_74":197,"_76":197,"_166":-5,"_173":30,"_176":30,"_187":198,"_178":30},"2.0.0",[],"2.1.0",[],"2.2.0",[],"2.3.0",[],"2.3.1",[],"2.4.0",[],[],"-","Latest (2.4.1)","nvidia/blueprint/nvidia-blueprint-vss","key","nvidia/blueprint/helm-charts/nvidia-blueprint-vss","resourceType","helm-charts","resourceId","nvidia-blueprint-vss","shortDescription","Blueprint for the Video Search and Summarization Agent","## Introduction\n\nAdvances 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:\n\n- Video captioning-Generating text descriptions or summary of videos.\n- Question answering-Answering questions about a video's content.\n- Video retrieval-Finding specific videos (highlights) based on text queries.\n- Action recognition-Identifying actions happening in the video.\n\nThe current release of Video Search and Summarization Agent (VSS) demonstrates Video Summarization, Q&A and alerts with accelerated performance on NVIDIA hardware.\n\n## Features\n\nVSS supports video upload, live stream support, summarizing on video files, image files and live streams with various configuration options. 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/). 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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.",[519,520,521,522,523,524,525,526,527,528,529,530,531,532,533,534,535,536,537,538,539,540],[403,404,405,406,407,408,409,410,411,412,413,414,415,416,417,418,419],{"_420":514,"_222":514,"_164":422,"_394":515},{"_420":510,"_222":510,"_164":422,"_394":511},{"_420":505,"_222":505,"_164":422,"_394":506},{"_420":501,"_222":501,"_164":422,"_394":502},{"_420":496,"_222":496,"_164":422,"_394":497},{"_420":491,"_222":491,"_164":422,"_394":492},{"_420":483,"_222":483,"_164":422,"_394":484},{"_420":475,"_222":475,"_164":422,"_394":476},{"_420":470,"_222":470,"_164":422,"_394":471},{"_420":465,"_222":465,"_164":422,"_394":466},{"_420":460,"_222":460,"_164":422,"_394":461},{"_420":455,"_222":455,"_164":422,"_394":456},{"_420":450,"_222":450,"_164":422,"_394":451},{"_420":443,"_222":443,"_164":422,"_394":444},{"_420":438,"_222":438,"_164":422,"_394":439},{"_420":431,"_222":431,"_164":422,"_394":432},{"_420":421,"_222":421,"_164":422,"_394":423},"hostName","amazon-adsystem.com","",[424,425],{"_76":430,"_427":421,"_428":30,"_164":429},{"_76":426,"_427":421,"_428":30,"_164":429},"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",[433,434],{"_76":437,"_427":431,"_428":30,"_164":436},{"_76":435,"_427":431,"_428":30,"_164":436},"IDE","This domain is owned by Doubleclick (Google). 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This tracking cookie allows a website to link visitor behaviour to the recipient of an email marketing campaign, to measure campaign effectiveness.","investor.nvidia.com","This cookie is associated with Eventbrite and is used to deliver content tailored to the end user's interests and improve content creation. This cookie is also used for event-booking purposes.","_gat_gtag_UA_140825383_2","Google Analytics","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","catalog.ngc.nvidia.com","_uetsid","This cookie is used by Bing to determine what ads should be shown that may be relevant to the end user perusing the site. 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It helps track your activity on the platform, including how you interact with their embedded services on other websites.","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.",[611,612,613,614,615,616,617,618,619,620,621,622,623,624,625,626,627,628,629,630,631,632,633,634,635],[582,583,584,585,586],{"_420":496,"_222":496,"_164":422,"_394":606},{"_420":470,"_222":470,"_164":422,"_394":601},{"_420":596,"_222":596,"_164":422,"_394":597},{"_420":591,"_222":591,"_164":422,"_394":592},{"_420":587,"_222":587,"_164":422,"_394":588},"nvidia.partners",[589],{"_76":590,"_427":587,"_428":30,"_164":464},"edge","app.hushly.com",[593],{"_76":594,"_427":591,"_428":30,"_164":595},"*CORS","This domain is associated with Hushly, a platform that provides lead conversion solutions for content marketing by using personalization and content engagement strategies.","github.com",[598],{"_76":599,"_427":596,"_428":30,"_164":600},"_octo","This domain is owned by Github. 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These cookies may store a unique ID so that our system will remember you when you return. Information collected with these cookies is used to measure and find ways to improve website performance.",3,[695,696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719,720,721,722,723],[675,676,677,678],{"_420":690,"_222":690,"_164":422,"_394":691},{"_420":685,"_222":685,"_164":422,"_394":686},{"_420":483,"_222":483,"_164":422,"_394":682},{"_420":596,"_222":596,"_164":422,"_394":679},[680],{"_76":681,"_427":596,"_428":84,"_164":600},"_gh_sess",[683],{"_76":684,"_427":483,"_428":84,"_164":490},"YSC","bizible.com",[687],{"_76":688,"_427":685,"_428":30,"_164":689},"_BUID","Bizible is a marketing attribution software that tracks the performance of marketing efforts and connects them to revenue, primarily used for B2B environments.","a.usbrowserspeed.com",[692],{"_76":693,"_427":690,"_428":30,"_164":694},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_76":765,"_427":542,"_428":30,"_164":766},{"_76":750,"_427":764,"_428":84,"_164":751},{"_76":733,"_427":545,"_428":30,"_164":657},{"_76":733,"_427":645,"_428":30,"_164":657},{"_76":762,"_427":542,"_428":30,"_164":763},{"_76":750,"_427":548,"_428":84,"_164":751},{"_76":760,"_427":542,"_428":30,"_164":761},{"_76":750,"_427":545,"_428":84,"_164":751},{"_76":758,"_427":644,"_428":30,"_164":759},{"_76":750,"_427":666,"_428":84,"_164":751},{"_76":730,"_427":545,"_428":30,"_164":732},{"_76":756,"_427":542,"_428":84,"_164":757},{"_76":754,"_427":542,"_428":30,"_164":755},{"_76":752,"_427":542,"_428":84,"_164":753},{"_76":750,"_427":640,"_428":84,"_164":751},{"_76":748,"_427":542,"_428":30,"_164":749},{"_76":746,"_427":542,"_428":30,"_164":747},{"_76":744,"_427":542,"_428":84,"_164":745},{"_76":742,"_427":649,"_428":30,"_164":743},{"_76":730,"_427":640,"_428":30,"_164":732},{"_76":740,"_427":542,"_428":30,"_164":741},{"_76":738,"_427":542,"_428":84,"_164":739},{"_76":736,"_427":542,"_428":30,"_164":737},{"_76":734,"_427":542,"_428":30,"_164":735},{"_76":733,"_427":542,"_428":30,"_164":657},{"_76":730,"_427":731,"_428":30,"_164":732},{"_76":728,"_427":542,"_428":30,"_164":729},{"_76":726,"_427":542,"_428":84,"_164":727},{"_76":724,"_427":542,"_428":30,"_164":725},"_ga_xxxxxxxxxx","Used by Google Analytics to identify and track an individual session with your device.","s_ppvl","This cookie is set by Adobe Analytics to store information on the percentage of the page displayed to the end user.","coveo_visitorId","This cookie name is associated with Coveo which is used to store a unique user ID for marketing purposes and to track the number of distinct users who submitted a query or clicked an item, counting them only once even if they did the same query or clicked the same item over the course of many visits.","_dd_s","marketplace.nvidia.com","Datadog Cookie used to group all events generated from a unique user session across multiple pages. It contains the current session ID, whether the session is excluded due to sampling, and the expiration date of the session. The cookie is extended for an extra 15 minutes every time the user interacts with the website, up to the maximum user session duration (4 hours).","nvweb_A","_ga","This cookie name is associated with Google Universal Analytics - which is a significant update to Google's more commonly used analytics service. This cookie is used to distinguish unique users by assigning a randomly generated number as a client identifier. It is included in each page request in a site and used to calculate visitor, session and campaign data for the sites analytics reports. By default it is set to expire after 2 years, although this is customisable by website owners.","_uetvid","This is a cookie utilised by Microsoft Bing Ads and is a tracking cookie. It allows us to engage with a user that has previously visited our website.","tp","This cookie is associated with Adobe Analytics site tracking. It registers if the website's scroll-depth detection is active. This function remembers how far the user has scrolled on the current session across the website's sub-pages.","_hly_vid","This cookie _hly_vid is used to record website and server performance with each visit to the site. The data is aggregated and analyzed; therefore, it remains anonymous upon use.","_session_id","This cookie creates an interim session ID used as an in-session user ID.\n","s_cc","This cookie is associated with the Adobe Site Catalyst. It determines whether cookies are enabled in the web browser.","s_ecid","Adobe Analytics cookie containing the the Adobe Experience Cloud 1st party visitor id if the Analytics AMCV visitor id is not found.","_hjSessionUser_xxxxxx","Hotjar cookie that is set when a user first lands on a page with the Hotjar script. 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