Inkling

Description

Inkling is a general-purpose multimodal autoregressive transformer model from Thinking Machines Lab Inc. that accepts text, image, and audio inputs and generates text outputs. The model is intended for English and other languages, multiple coding languages, agentic and tool-use systems, coding assistants, chatbots, retrieval-augmented generation systems, general-purpose conversational use, instruction following, and other natural language or multimodal tasks.

This model is ready for commercial or non-commercial use.

Third-Party Community Consideration:

This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA Inkling Model Card

License and Terms of Use:

GOVERNING TERMS: Use of the model is governed by the NVIDIA Open Model Agreement. ADDITIONAL INFORMATION: Apache License, Version 2.0.

Deployment Geography:

Global

Use Case:

Use Case: Inkling is intended for developers building AI-powered applications, including agentic and tool-use systems, coding assistants, chatbots, retrieval-augmented generation systems, general-purpose conversational AI, instruction-following systems, and multimodal applications.

Release Date:

Build.NVIDIA.com: 07/15/2026 via link\nHuggingface: 07/15/2026 via link

Reference(s):

References:

Model Architecture:

Architecture Type: Transformer\nNetwork Architecture: Mixture-of-Experts\nTotal Parameters: 975B\nActive Parameters: 41B

Input:

Input Types: Text, Image, Audio\nInput Formats: String, Red, Green, Blue (RGB), Other (Waveform)\nInput Parameters: One-Dimensional (1D), Two-Dimensional (2D), One-Dimensional (1D)\nOther Input Properties: Text input uses UTF-8 encoding; image input supports pixel-based formats with each dimension ideally between 40 and 4,096 pixels; audio input uses WAV format sampled at 16 kHz and is ideally under 20 minutes.

Output:

Output Types: Text\nOutput Format: String\nOutput Parameters: One-Dimensional (1D)\nOther Output Properties: Inkling generates UTF-8 encoded text.

Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.

Software Integration:

Runtime Engines:

SGLang
vLLM

Supported Hardware:

NVIDIA Blackwell: B300, B200, GB300
NVIDIA Hopper: H200

Preferred Operating Systems: Linux

The integration of foundation and fine-tuned models into AI systems requires additional testing using use-case-specific data to ensure safe and effective deployment. Following the V-model methodology, iterative testing and validation at both unit and system levels are essential to mitigate risks, meet technical and functional requirements, and ensure compliance with safety and ethical standards before deployment.

Model Version(s)

Inkling v1.0

Training, Testing, and Evaluation Datasets:

Training Dataset

Data Modality: Text, Image, Audio, Video\nText Training Data Size: Undisclosed\nImage Training Data Size: Undisclosed\nAudio Training Data Size: Undisclosed\nVideo Training Data Size: Undisclosed\nTraining Data Collection: Hybrid: Automated, Manually-Collected, Synthetic\nTraining Labeling: Undisclosed\nTraining Properties: Training data includes a broad variety of content types, including text, images, audio, and video, drawn from publicly available sources, third-party acquired sources, and synthetically generated or augmented data. The training data curation process includes cleaning, processing, modification, deduplication, filtering, and other data-type-specific processing steps to remove low-quality content or advance safety objectives.

Testing Dataset

Testing Data Collection: Undisclosed\nTesting Labeling: Undisclosed\nTesting Properties: Undisclosed

Evaluation Dataset

Evaluation Benchmark Score: Inkling reports reasoning, agentic, factuality, chat, vision, audio, and safety benchmark results at effort=0.99. Selected official Hugging Face scores include 46.0% HLE with tools, 97.1% AIME 2026, 77.6% SWEBench Verified, 54.3% SWEBench Pro (Public), 63.8 Terminal Bench 2.1, 88.7% Global-MMLU-Lite, 73.3% MMMU Pro (Standard 10), 91.4% VoiceBench, and 98.6% StrongREJECT.

Detailed benchmark comparison tables are available in the official Inkling Model Card.

Evaluation Data Collection: Hybrid: Automated, Manually-Collected\nEvaluation Labeling: Hybrid: Automated, Manually-Labeled\nEvaluation Properties: The evaluation suite covers reasoning, coding and agentic tasks, factuality, chat and instruction following, multimodal vision and audio tasks, and safety benchmarks, with results reported at effort=0.99 and comparison scores from the r/acc leaderboard generated July 14, 2026.

Inference

Acceleration Engine: SGLang + Dynamo

Test Hardware: NVIDIA Blackwell (GB200, B200, B300, GB300), NVIDIA Hopper (H200)

Additional Details

Inkling may exhibit general limitations common to foundation models, including hallucination, occasional failures to follow instructions precisely, degraded performance in long multi-turn conversations, demographic, cultural, or linguistic bias, and uneven performance across languages, dialects, or subject domains that were less represented during training. Downstream developers and deployers should apply human oversight for high-stakes or safety-critical contexts, conduct use-case-specific evaluation, and implement application-layer safeguards such as content filtering, rate limiting, monitoring, and input/output moderation.

Safety evaluations were conducted ahead of release across everyday human-AI interaction and dangerous-capability testing. Evaluation areas included sycophancy, harmful manipulation, psychological-harm patterns, refusal behavior, CBRN, cyber, loss of control, agentic capability, strategic deception, sabotage potential, internal evaluations, external testing, open-ended external red teaming, and refusal-suppressed variants to estimate latent capability with safeguards removed. For more information on model safety, please view the Inkling Model Card.

Ethical Considerations

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.

Please make sure you have proper rights and permissions for all input image content; if image includes people, personal health information, or intellectual property, the image generated will not blur or maintain proportions of image subjects included.

Please report model quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Enterprise Support

For help with NVIDIA NIM, customers with an active NVIDIA AI Enterprise subscription can file a support ticket.

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The model is intended for English and other languages, multiple coding languages, agentic and tool-use systems, coding assistants, chatbots, retrieval-augmented generation systems, general-purpose conversational use, instruction following, and other natural language or multimodal tasks.\n\n*This model is ready for commercial or non-commercial use.*\n\n## Third-Party Community Consideration:\nThis model is not owned or developed by NVIDIA. This model has been developed and built to a third-party's requirements for this application and use case; see link to Non-NVIDIA [Inkling Model Card](https://huggingface.co/thinkingmachines/Inkling)\n\n## License and Terms of Use:\n**GOVERNING TERMS**: Use of the model is governed by the [NVIDIA Open Model Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-agreement/). ADDITIONAL INFORMATION: [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0).\n\n## Deployment Geography:\nGlobal\n\n## Use Case:\n**Use Case:** Inkling is intended for developers building AI-powered applications, including agentic and tool-use systems, coding assistants, chatbots, retrieval-augmented generation systems, general-purpose conversational AI, instruction-following systems, and multimodal applications.\n\n## Release Date:\n**Build.NVIDIA.com:** 07/15/2026 via [link](http://build.nvidia.com/thinkingmachines/inkling)\n**Huggingface:** 07/15/2026 via [link](https://huggingface.co/thinkingmachines/Inkling)\n\n## Reference(s):\n**References:**\n- [Inkling Model Page](https://huggingface.co/thinkingmachines/Inkling)\n- [Inkling NVFP4 Model Page](https://huggingface.co/thinkingmachines/Inkling-NVFP4)\n- [Thinking Machines Acceptable Use Policy](https://thinkingmachines.ai/model-acceptable-use-policy/)\n- [Tinker Cookbook](https://github.com/thinking-machines-lab/tinker-cookbook)\n- [Inkling Tinker Documentation](https://tinker-docs.thinkingmachines.ai/cookbook/inkling/)\n\n## Model Architecture:\n**Architecture Type:** Transformer\n**Network Architecture:** Mixture-of-Experts\n**Total Parameters:** 975B\n**Active Parameters:** 41B\n\n### Input:\n**Input Types:** Text, Image, Audio\n**Input Formats:** String, Red, Green, Blue (RGB), Other (Waveform)\n**Input Parameters:** One-Dimensional (1D), Two-Dimensional (2D), One-Dimensional (1D)\n**Other Input Properties:** Text input uses UTF-8 encoding; image input supports pixel-based formats with each dimension ideally between 40 and 4,096 pixels; audio input uses WAV format sampled at 16 kHz and is ideally under 20 minutes.\n\n### Output:\n**Output Types:** Text\n**Output Format:** String\n**Output Parameters:** One-Dimensional (1D)\n**Other Output Properties:** Inkling generates UTF-8 encoded text.\n\n__Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA's hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.__\n\n## Software Integration:\n**Runtime Engines:**\n- **SGLang**\n- **vLLM**\n\n**Supported Hardware:**\n- **NVIDIA Blackwell:** B300, B200, GB300\n- **NVIDIA Hopper:** H200\n\n**Preferred Operating Systems:** Linux\n\n__The integration of foundation and fine-tuned models into AI systems requires additional testing using use-case-specific data to ensure safe and effective deployment. Following the V-model methodology, iterative testing and validation at both unit and system levels are essential to mitigate risks, meet technical and functional requirements, and ensure compliance with safety and ethical standards before deployment.__\n\n## Model Version(s)\nInkling v1.0\n\n## Training, Testing, and Evaluation Datasets:\n\n### Training Dataset\n**Data Modality:** Text, Image, Audio, Video\n**Text Training Data Size:** Undisclosed\n**Image Training Data Size:** Undisclosed\n**Audio Training Data Size:** Undisclosed\n**Video Training Data Size:** Undisclosed\n**Training Data Collection:** Hybrid: Automated, Manually-Collected, Synthetic\n**Training Labeling:** Undisclosed\n**Training Properties:** Training data includes a broad variety of content types, including text, images, audio, and video, drawn from publicly available sources, third-party acquired sources, and synthetically generated or augmented data. The training data curation process includes cleaning, processing, modification, deduplication, filtering, and other data-type-specific processing steps to remove low-quality content or advance safety objectives.\n\n### Testing Dataset\n**Testing Data Collection:** Undisclosed\n**Testing Labeling:** Undisclosed\n**Testing Properties:** Undisclosed\n\n### Evaluation Dataset\n**Evaluation Benchmark Score:** Inkling reports reasoning, agentic, factuality, chat, vision, audio, and safety benchmark results at effort=0.99. Selected official Hugging Face scores include 46.0% HLE with tools, 97.1% AIME 2026, 77.6% SWEBench Verified, 54.3% SWEBench Pro (Public), 63.8 Terminal Bench 2.1, 88.7% Global-MMLU-Lite, 73.3% MMMU Pro (Standard 10), 91.4% VoiceBench, and 98.6% StrongREJECT.\n\nDetailed benchmark comparison tables are available in the official [Inkling Model Card](https://huggingface.co/thinkingmachines/Inkling).\n\n**Evaluation Data Collection:** Hybrid: Automated, Manually-Collected\n**Evaluation Labeling:** Hybrid: Automated, Manually-Labeled\n**Evaluation Properties:** The evaluation suite covers reasoning, coding and agentic tasks, factuality, chat and instruction following, multimodal vision and audio tasks, and safety benchmarks, with results reported at effort=0.99 and comparison scores from the r/acc leaderboard generated July 14, 2026.\n\n## Inference\n**Acceleration Engine:** SGLang + Dynamo\n\n**Test Hardware:** NVIDIA Blackwell (GB200, B200, B300, GB300), NVIDIA Hopper (H200)\n\n## Additional Details\nInkling may exhibit general limitations common to foundation models, including hallucination, occasional failures to follow instructions precisely, degraded performance in long multi-turn conversations, demographic, cultural, or linguistic bias, and uneven performance across languages, dialects, or subject domains that were less represented during training. Downstream developers and deployers should apply human oversight for high-stakes or safety-critical contexts, conduct use-case-specific evaluation, and implement application-layer safeguards such as content filtering, rate limiting, monitoring, and input/output moderation.\n\nSafety evaluations were conducted ahead of release across everyday human-AI interaction and dangerous-capability testing. Evaluation areas included sycophancy, harmful manipulation, psychological-harm patterns, refusal behavior, CBRN, cyber, loss of control, agentic capability, strategic deception, sabotage potential, internal evaluations, external testing, open-ended external red teaming, and refusal-suppressed variants to estimate latent capability with safeguards removed. For more information on model safety, please view the [Inkling Model Card](https://huggingface.co/thinkingmachines/Inkling).\n\n## Ethical Considerations\nNVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.\n\nPlease make sure you have proper rights and permissions for all input image content; if image includes people, personal health information, or intellectual property, the image generated will not blur or maintain proportions of image subjects included.\n\nPlease report model quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).\n\n## Get Help\n\n### Enterprise Support\n\nFor help with NVIDIA NIM, customers with an active NVIDIA AI Enterprise subscription can [file a support ticket](https://www.nvidia.com/en-us/support/enterprise/).","displayName","Inkling",["D",1787295749657],"publisher","Thinking Machines Lab","latestVersion","collectionCounts","imageUrl","/api/image/nim/thinkingmachines/models/inkling","rawImageUrl","canGuestDownload","latestVersionSizeInBytes","licenseTerms",{"_278":279,"_280":281,"_282":283,"_284":35,"_285":286},"isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[272],"displayLabels",[264],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata","computedResourceType",{"_232":265,"_266":265,"_267":268,"_269":270},"NSPECT-AS16-OTEF","value","filter",{"_271":270,"_266":265},"category","label","field",{"_232":273,"_266":274,"_267":275,"_269":276},"NVIDIA NIM","nimmcro_nvidia_nim",{"_271":277,"_266":274},"feature","nvidia_nim","governingTerms","

GOVERNING DOWNLOAD TERMS: Use of the model is governed by the NVIDIA Open Model Agreement.

ADDITIONAL INFORMATION: Apache License, Version 2.0.

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GOVERNING DOWNLOAD TERMS: Use of the model is governed by the NVIDIA Open Model Agreement.

ADDITIONAL INFORMATION: Apache License, Version 2.0.

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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.","__Secure-*","Auto-detected during scan","tags.srv.stackadapt.com",[480],{"_80":481,"_432":478,"_433":35,"_197":482},"sa-user-*","This domain is associated with StackAdapt, a platform for programmatic advertising, which suggests that it is used for targeting and advertising purposes.","linkedin.com",[485],{"_80":486,"_432":483,"_433":35,"_197":487},"bcookie","This domain is owned by LinkedIn, the business networking platform. It typically acts as a third party host where website owners have placed one of its content sharing buttons in their pages, although its content and services can be embedded in other ways. 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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.","_zitok","marketplace.nvidia.com","This cookie name is associated with ZoomInfo which is used to maintain a unique visitor identifier and store Personally Identifiable Information.","_gat_gtag_UA_140825383_2","Google Analytics","_gat_gtag_UA_162631457_1","_gat_gtag_UA_53775284_8","forums.developer.nvidia.com","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","_gat_gtag_UA_146100304_1","catalog.ngc.nvidia.com","aws-waf-token","Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. 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It helps track your activity on the platform, including how you interact with their embedded services on other websites.","_fbp","Used by Facebook to deliver a series of advertisement products such as real time bidding from third party advertisers","research.nvidia.com","_twpid","_gat_gtag_UA_141699104_1","_gat_gtag_UA_53775284_6","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.","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,[657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679,680,681,682,683,684,685,686,687],[623,624,625,626,627,628],{"_426":508,"_232":508,"_197":198,"_398":652},{"_426":483,"_232":483,"_197":198,"_398":647},{"_426":642,"_232":642,"_197":198,"_398":643},{"_426":637,"_232":637,"_197":198,"_398":638},{"_426":633,"_232":633,"_197":198,"_398":634},{"_426":629,"_232":629,"_197":198,"_398":630},"nvcrm.my.site.com",[631],{"_80":632,"_432":629,"_433":35,"_197":198},"BrowserId","nvidia.partners",[635],{"_80":636,"_432":633,"_433":35,"_197":469},"edge","app.hushly.com",[639],{"_80":640,"_432":637,"_433":35,"_197":641},"*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",[644],{"_80":645,"_432":642,"_433":35,"_197":646},"_octo","This domain is owned by Github. 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We have categorized it under Functionality because it is necessary for the operation of our affiliate program.","nv_country_code","developer.nvidia.com","This cookie is likely used to store the country code of the visitor to provide localized content and possibly for legal compliance with regional data privacy laws.","_gdxxxxxxxxxxxxx","__ngc_ui_apps","nvidianews.nvidia.com","docs.api.nvidia.com","readme_library","wcmmode","_im_id.1006927","_im_ses.1006927","geo_locator","la.blogs.nvidia.com","_semaJ2rWcw","This cookie is categorized as Functionality Cookie.","openedx-language-preference","learn.nvidia.com","doxygen_width","raytracing-docs.nvidia.com","This cookie is likely used to remember the width preferences of a sidebar or interface element within a documentation platform like Doxygen.","_sfid_eb78","crowdsource.nvidia.com","__ngc_ui","mbox","Cookie set by Adobe SiteCatalyst analytics software - used for measuring the performance of page content using A/B split testing","readme_language","vid","This cookie name 'vid' is used for tracking the search request made by the user on the 'Find a practitioner' page.","at_check","Used by Adobe Target to check if cookies are enabled/supported on the browser","blogs.nvidia.com","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.","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. Information collected with these cookies is used to measure and find ways to improve website performance.",[757,758,759,760,761,762,763,764,765,766,767,768,769,770,771,772,773,774,775,776,777,778,779,780,781,782,783,784,785,786,787,788,789,790,791,792,793,794,795,796,797,798,799,800],[729,730,731,732,733],{"_426":752,"_232":752,"_197":198,"_398":753},{"_426":747,"_232":747,"_197":198,"_398":748},{"_426":496,"_232":496,"_197":198,"_398":744},{"_426":737,"_232":737,"_197":198,"_398":738},{"_426":642,"_232":642,"_197":198,"_398":734},[735],{"_80":736,"_432":642,"_433":91,"_197":646},"_gh_sess","statcounter.com",[739,740],{"_80":743,"_432":737,"_433":35,"_197":742},{"_80":741,"_432":737,"_433":35,"_197":742},"is_unique","This domain is owned by StatCounter.\nThe main business activity is: Real time visitor analytics","is_visitor_unique",[745],{"_80":746,"_432":496,"_433":91,"_197":502},"YSC","bizible.com",[749],{"_80":750,"_432":747,"_433":35,"_197":751},"_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",[754],{"_80":755,"_432":752,"_433":35,"_197":756},"tuid","This domain is owned by Ookla which provides internet speed testing services through its Speedtest application.",{"_80":862,"_432":570,"_433":35,"_197":863},{"_80":860,"_432":570,"_433":91,"_197":861},{"_80":857,"_432":858,"_433":35,"_197":859},{"_80":835,"_432":848,"_433":91,"_197":836},{"_80":855,"_432":570,"_433":35,"_197":856},{"_80":809,"_432":573,"_433":35,"_197":705},{"_80":809,"_432":606,"_433":35,"_197":705},{"_80":853,"_432":570,"_433":35,"_197":854},{"_80":837,"_432":692,"_433":91,"_197":838},{"_80":835,"_432":576,"_433":91,"_197":836},{"_80":851,"_432":570,"_433":35,"_197":852},{"_80":849,"_432":570,"_433":35,"_197":850},{"_80":843,"_432":570,"_433":35,"_197":198},{"_80":834,"_432":848,"_433":35,"_197":477},{"_80":835,"_432":573,"_433":91,"_197":836},{"_80":846,"_432":606,"_433":35,"_197":847},{"_80":844,"_432":697,"_433":35,"_197":845},{"_80":835,"_432":721,"_433":91,"_197":836},{"_80":843,"_432":692,"_433":35,"_197":198},{"_80":807,"_432":573,"_433":35,"_197":808},{"_80":834,"_432":573,"_433":35,"_197":477},{"_80":841,"_432":570,"_433":91,"_197":842},{"_80":839,"_432":570,"_433":35,"_197":840},{"_80":837,"_432":570,"_433":91,"_197":838},{"_80":835,"_432":692,"_433":91,"_197":836},{"_80":834,"_432":692,"_433":35,"_197":477},{"_80":832,"_432":570,"_433":35,"_197":833},{"_80":830,"_432":570,"_433":35,"_197":831},{"_80":828,"_432":570,"_433":91,"_197":829},{"_80":825,"_432":826,"_433":35,"_197":827},{"_80":807,"_432":692,"_433":35,"_197":808},{"_80":823,"_432":570,"_433":91,"_197":824},{"_80":821,"_432":570,"_433":35,"_197":822},{"_80":820,"_432":692,"_433":91,"_197":815},{"_80":818,"_432":570,"_433":91,"_197":819},{"_80":816,"_432":585,"_433":35,"_197":817},{"_80":814,"_432":692,"_433":91,"_197":815},{"_80":812,"_432":570,"_433":35,"_197":813},{"_80":810,"_432":570,"_433":35,"_197":811},{"_80":809,"_432":570,"_433":35,"_197":705},{"_80":807,"_432":585,"_433":35,"_197":808},{"_80":805,"_432":570,"_433":35,"_197":806},{"_80":803,"_432":570,"_433":91,"_197":804},{"_80":801,"_432":570,"_433":35,"_197":802},"_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","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.","s_tp","This cookie is associated with Adobe Analytics. The cookie is used for measuring a visitor’s scroll activity to see how much of a page they view before moving on to another page.","_an_uid","This cookie is likely used for analytics purposes to track user behavior and site usage, which may include unique user identification for tracking.","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.","s_ips","_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.","s_plt","This cookie is used to measure the time taken for pages to load, allowing website owners to identify slow loading pages and improve user experience.","_session_id","resources.nvidia.com","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. It is used to persist the Hotjar User ID, unique to that site on the browser. This ensures that behavior in subsequent visits to the same site will be attributed to the same user ID.","__sec_*","_hjHasCachedUserAttributes","This cookie name is associated with Hotjar which is used to know whether the data set in _hjUserAttributes Local Storage item is up to date or not.","s_ppv","This cookie is associated with Adobe Analytics site tracking and is used to measure a user's scroll activity to see how much of a page they view before moving to another page.","_gid","This cookie name is associated with Google Universal Analytics. This appears to be a new cookie and as of Spring 2017 no information is available from Google. It appears to store and update a unique value for each page visited.","_hjTLDTest","When the Hotjar script executes we try to determine the most generic cookie path we should use, instead of the page hostname. This is done so that cookies can be shared across subdomains (where applicable). 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users logged in across NVIDIA domains.","api.ngc.nvidia.com","This cookie is managed by AWS and is used for load balancing.","bm_so","This cookie name is used to load the site as quickly as possible and to recognize bots using Akamai.","OptanonAlertBoxClosed","docs.ngc.nvidia.com","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a normal lifespan of one year and contains no personal information.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","omniverse.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\nThis is a CloudFoundry cookie","OptanonConsent","nvid.nvidia.com","This cookie is set by the cookie compliance solution from OneTrust. It stores information about the categories of cookies the site uses and whether visitors have given or withdrawn consent for the use of each category. This enables site owners to prevent cookies in each category from being set in the users browser, when consent is not given. The cookie has a normal lifespan of one year, so that returning visitors to the site will have their preferences remembered. It contains no information that can identify the site visitor.","_rdt_em","This cookie name is associated with Reddit which is used to manage session state and user interactions.","events.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","sessionid","This is a very generic cookie name that may have different purposes on different sites, but generally it will be some kind of anonymous session identifier.","_csrf","This cookie is used to prevent Cross-Site Request Forgery (CSRF) attacks, ensuring that each request made to the server is from the user's browser and is intentional.","enterprise-support.nvidia.com","renderCtx","academicgrants.nvidia.com","Used to store site parameters in the session for reuse across requests by a single client for functionality and performance reasons.","This cookie is managed by AWS and is used for load balancing.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","nvidiaCart","This domain is owned by NVIDIA Corporation which provides information about the company, its products, solutions, industries, news, events, and career opportunities.","nv_co","__uxq412__ses.88c1","AWS ELB application load balancerUsed to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","learn.learn.nvidia.com","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","This cookie is associated with Akamai. It is used to analyse traffic to determine if it is automated traffic generated by bots or a human user.","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","programs.nvidia.com","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\n","This cookie name is used by DataDog to determine if cookies are supported on the website.dd_cookie_test","buildapi.ngc.nvidia.com","AMP_TLDTEST_xxxxxxxx","SESSlsd","This cookie is likely to be a session identifier used to maintain user session state across page requests.","mboxEdgeCluster","This cookie name is associated with Adobe Target which is used to communicate the correct edge cluster to at.js so that Target profiles can stay in sync as users navigate across a site.","megaNavCollapsed","_abck","The _abck cookie is associated with Akamai's Bot Manager, which is used to prevent fraud and abuse by safeguarding online interactions and detecting irregularities that could suggest malicious activity, such as bot-driven attacks or hacking attempts.","idccsrf","This cookie name is associated with Salesforce which is used to track CrossSiteRequestForgery validation for certain single sign-on (SSO) flows.","ApplicationGatewayAffinity","partners.nvidia.com","This cookie is used to maintain a user session by the server in a load balanced environment, to ensure the user has a consistent experience.","AMP_TEST_xxxxxxxx","_pf_consent","This cookie name is associated with Command Alkon Incorporated which is used to store user consent status and expiration.","bm_lso","This cookie name is associated with Akamai which is used to load the site as quickly as possible and to recognize bots.","SSESS###########","This cookie is likely to be a session cookie used to maintain an anonymized user session by the server in a secure environment, often seen in sites built with the Drupal content management system.","nvdeveloper.nvidia.com","__uxq412__id.88c1","QueueITAccepted-SDFrts345E-V3_{eventId}","TEST_AMCV_COOKIE_WRITE","This cookie is used to test whether cookies are enabled in the browser. It is a temporary cookie used to determine if the browser accepts cookies.","XSRF-TOKEN","This cookie is written to help with site security in preventing Cross-Site Request Forgery attacks.This cookie helps with site security in preventing Cross-Site Request Forgery attacks.","bpazaws52gukakzc__ctrl0_ctl78_list_ctl09_systemcaptcha","ph_phc_yQgAEdJJkVpI24NdSRID2mor1x1leRpDoC9yZ9mfXal_posthog","The PostHog ph_phc_xxx cookie is a session cookie used for identifying and tracking visitors on websites, helping us understand user behavior and website performance.","PHPSESSID","PHP session cookie associated with embedded content from this domain.\n","base.manager.learn.nvidia.com","bm_ss","This cookie is used to help protect websites from automated bot traffic.","_devzone_session","This cookie is likely used to maintain a user session on the website by the server. It is common for session identifiers to be used to keep users logged in and track their interaction with the site during a session.","c_code","bm_sz","This cookie is used by Akamai to optimize site performance and security. It is typically associated with the delivery of web content and services.","vcalliance.nvidia.com","com.adobe.alloy.getTld","This cookie name is associated with the Adobe WebSDK which is used to determine the top-most domain that can accept cookies.","session","This cookie is typically used to maintain an anonymized user session by the server.","SESSls","This cookie is likely to be a session identifier, used to maintain a user's session state across page requests.","BIGipServerx","This cookie name is associated with the BIG-IP product suite from company F5. Usually associated with managing sessions on load balanced servers, to ensure user requests are routed consistently to the correct server. The common root is BIGipServer most commonly followed by a domain name, usually the one that it is hosted on, but not always.","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a one year lifespan and contains no personal information.","default","

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