Lighthouse Mobile

· 0 checks — Mobile Lighthouse audit -- Performance, Accessibility, Best Practices, and SEO category breakdown.

SCORE

GRADE

FIX

REVIEW

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INFO

Detailed Report

Audit breakdown by category with detailed findings.

Performance

Insights

Remove large, duplicate JavaScript modules from bundles to reduce unnecessary bytes consumed by network activity.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Polyfills and transforms enable older browsers to use new JavaScript features. However, many aren't necessary for modern browsers. Consider modifying your JavaScript build process to not transpile Baseline features, unless you know you must support older browsers. Learn why most sites can deploy ES6+ code without transpiling

Why this matters

Performance issues directly impact user engagement and conversion rates.

3rd party code can significantly impact load performance. Reduce and defer loading of 3rd party code to prioritize your page's content.

Why this matters

Performance issues directly impact user engagement and conversion rates.

A long cache lifetime can speed up repeat visits to your page. Learn more about caching.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Request	Cache TTL	Transfer Size
/etc/designs/nvidiaGDC/clientlibs_base/fonts/source-han-s...	0.0 ms	12.9 MiB
/etc/designs/nvidiaGDC/clientlibs_base/fonts/font-awesome...	0.0 ms	354.7 KiB
/etc/designs/nvidiaGDC/clientlibs_base/fonts/font-awesome...	0.0 ms	320.5 KiB
assets.adobedtm.com/5d4962a43b79/96fada676f0e/launch-95431b44ee81.min.js	3600.0 s	290.7 KiB
use.typekit.net/vvg2vkh.js	600.0 s	180.3 KiB
/etc/designs/nvidiaGDC/clientlibs_base/fonts/font-awesome...	0.0 ms	108.6 KiB
cdn.cookielaw.org/scripttemplates/202601.1.0/otBannerSdk.js	86400.0 s	127.0 KiB
/etc/designs/nvidiaGDC/clientlibs_base/fonts/nvidia-sans/...	0.0 ms	17.4 KiB
/5d4962a43b79/96fada676f0e/356cbd0a0beb/EXea8a172518894e9...	3600.0 s	19.5 KiB
images.nvidia.com/aem-dam/Solutions/ot-js/ot-custom.js	0.0 ms	11.0 KiB
www.nvidia.com/akam/13/3f492ba	21600.0 s	9.5 KiB
www.nvidia.com/content/dam/en-zz/Solutions/country-selector/countrySelector.js	0.0 ms	4.0 KiB
cdn.cookielaw.org/scripttemplates/otSDKStub.js	86400.0 s	9.1 KiB
/logos/10ddf4ca-c072-45d0-b3ac-eead0ed93db0/b73a5c09-1e15...	86400.0 s	6.2 KiB
cdn.cookielaw.org/logos/static/powered_by_logo.svg	86400.0 s	2.7 KiB

Your first network request is the most important. Reduce its latency by avoiding redirects, ensuring a fast server response, and enabling text compression.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Consider setting font-display to swap or optional to ensure text is consistently visible. swap can be further optimized to mitigate layout shifts with font metric overrides.

Why this matters

Performance issues directly impact user engagement and conversion rates.

URL	Est Savings
/etc/designs/nvidiaGDC/clientlibs_base/fonts/font-awesome...	50 ms
/etc/designs/nvidiaGDC/clientlibs_base/fonts/font-awesome...	45 ms
/etc/designs/nvidiaGDC/clientlibs_base/fonts/font-awesome...	20 ms

A forced reflow occurs when JavaScript queries geometric properties (such as offsetWidth) after styles have been invalidated by a change to the DOM state. This can result in poor performance. Learn more about forced reflows and possible mitigations.

Why this matters

Performance issues directly impact user engagement and conversion rates.

headings: [map[key:source label:Top function call valueType:source-location] map[granularity:1 key:reflowTime label:Total reflow time valueType:ms]]

items: [map[reflowTime:57.539 source:map[column:49535 line:1 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b9d461d8851186ddbdf10f16138d72d0.js urlProvider:network]]]

headings: [map[key:source label:Source valueType:source-location] map[granularity:1 key:reflowTime label:Total reflow time valueType:ms]]

items: [map[reflowTime:33.396 source:map[column:79 line:671 type:source-location url:https://www.nvidia.com/zh-tw/ urlProvider:network]] map[reflowTime:1.473 source:map[column:67 line:691 type:source-location url:https://www.nvidia.com/zh-tw/ urlProvider:network]] map[reflowTime:243.06 source:map[column:26303 line:0 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b9d461d8851186ddbdf10f16138d72d0.js urlProvider:network]] map[reflowTime:47.234 source:map[column:124818 line:0 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b9d461d8851186ddbdf10f16138d72d0.js urlProvider:network]] map[reflowTime:9.05 source:map[column:11945 line:986 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundation.min.efc0fdf7ab6cfd024ef52932bbdebd3a.js urlProvider:network]] map[reflowTime:0.27 source:map[column:11610 line:998 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundation.min.efc0fdf7ab6cfd024ef52932bbdebd3a.js urlProvider:network]] map[reflowTime:0.41 source:map[column:15093 line:998 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundation.min.efc0fdf7ab6cfd024ef52932bbdebd3a.js urlProvider:network]] map[reflowTime:0.191 source:map[column:250610 line:0 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b9d461d8851186ddbdf10f16138d72d0.js urlProvider:network]] map[reflowTime:16.031 source:map[column:114 line:212 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.579 source:map[column:181 line:105 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:1.055 source:map[column:263802 line:0 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b9d461d8851186ddbdf10f16138d72d0.js urlProvider:network]] map[reflowTime:0.213 source:map[column:51746 line:988 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundation.min.efc0fdf7ab6cfd024ef52932bbdebd3a.js urlProvider:network]] map[reflowTime:3.063 source:map[column:47074 line:988 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundation.min.efc0fdf7ab6cfd024ef52932bbdebd3a.js urlProvider:network]] map[reflowTime:0.371 source:map[column:51666 line:988 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundation.min.efc0fdf7ab6cfd024ef52932bbdebd3a.js urlProvider:network]] map[reflowTime:2.062 source:map[column:58 line:149 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.434 source:map[column:84 line:145 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.35 source:map[column:213 line:145 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.169 source:map[column:4 line:146 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.23 source:map[column:68 line:146 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.59 source:map[column:372 line:146 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.374 source:map[column:444 line:146 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.186 source:map[column:121 line:37 type:source-location url:https://www.nvidia.com/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js urlProvider:network]] map[reflowTime:0.928 source:map[column:17746 line:0 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b9d461d8851186ddbdf10f16138d72d0.js urlProvider:network]] map[reflowTime:57.539 source:map[column:46641 line:0 type:source-location url:https://www.nvidia.com/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b9d461d8851186ddbdf10f16138d72d0.js urlProvider:network]] map[reflowTime:37.949 source:map[type:text value:[unattributed]]]]

Each subpart has specific improvement strategies. Ideally, most of the LCP time should be spent on loading the resources, not within delays.

Why this matters

Performance issues directly impact user engagement and conversion rates.

headings: [map[key:label label:Subpart valueType:text] map[key:duration label:Duration valueType:ms]]

items: [map[duration:1152.893 label:Time to first byte subpart:timeToFirstByte] map[duration:1104.678 label:Resource load delay subpart:resourceLoadDelay] map[duration:290.652 label:Resource load duration subpart:resourceLoadDuration] map[duration:338.519 label:Element render delay subpart:elementRenderDelay]]

lhId: page-0-IMG

nodeLabel: div#container-b97c27b406 > div.nv-img-as-bg > picture > img#image-container-b97c27b406

path: 1,HTML,1,BODY,2,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,PICTURE,4,IMG

selector: div#container-b97c27b406 > div.nv-img-as-bg > picture > img#image-container-b97c27b406

snippet: <img src="https://www.nvidia.com/content/dam/en-zz/nvidiaweb/homepage/geforce/mfg/DL…" alt="" id="image-container-b97c27b406" onload="window.initLazyLoadingImages('container-b97c27b406');" srcset=" /content/dam/en-zz/nvidiaweb/homepage/geforce/mfg/DLSS-4-5-Availability-w…">

Optimize LCP by making the LCP image discoverable from the HTML immediately, and avoiding lazy-loading

Why this matters

Performance issues directly impact user engagement and conversion rates.

lhId: page-0-IMG

nodeLabel: div#container-b97c27b406 > div.nv-img-as-bg > picture > img#image-container-b97c27b406

path: 1,HTML,1,BODY,2,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,DIV,0,PICTURE,4,IMG

selector: div#container-b97c27b406 > div.nv-img-as-bg > picture > img#image-container-b97c27b406

Avoid chaining critical requests by reducing the length of chains, reducing the download size of resources, or deferring the download of unnecessary resources to improve page load.

Why this matters

Performance issues directly impact user engagement and conversion rates.

description: [preconnect](https://developer.chrome.com/docs/lighthouse/performance/uses-rel-preconnect/) hints help the browser establish a connection earlier in the page load, saving time when the first request for that origin is made. The following are the origins that the page preconnected to.

title: Preconnected origins

description: Add [preconnect](https://developer.chrome.com/docs/lighthouse/performance/uses-rel-preconnect/) hints to your most important origins, but try to use no more than 4.

title: Preconnect candidates

Requests are blocking the page's initial render, which may delay LCP. Deferring or inlining can move these network requests out of the critical path.

Why this matters

Performance issues directly impact user engagement and conversion rates.

URL	Transfer Size	Duration
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b...	60.2 KiB
www.nvidia.com/content/dam/en-zz/Solutions/country-selector/countrySelector.js	4.0 KiB
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundat...	136.6 KiB	1.5 s
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-base.min.c...	22.0 KiB
www.nvidia.com/assets/account-wrapper/starfleet.js	14.2 KiB	301 ms
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-preload.mi...	3.1 KiB
/etc.clientlibs/clientlibs/granite/utils.min.4a192b590a2c...	4.2 KiB	150 ms
assets.adobedtm.com/5d4962a43b79/96fada676f0e/launch-95431b44ee81.min.js	290.7 KiB	3.9 s
/etc.clientlibs/foundation/clientlibs/shared.min.e9d9a399...	8.1 KiB
/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e877...	35.7 KiB	301 ms
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.e...	126.6 KiB	1.7 s
images.nvidia.com/aem-dam/Solutions/ot-js/ot-custom.js	11.0 KiB	916 ms
cdn.cookielaw.org/scripttemplates/otSDKStub.js	9.1 KiB	919 ms
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-nvgdccart....	998 B
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-base.min.8...	20.3 KiB	301 ms

Reducing the download time of images can improve the perceived load time of the page and LCP. Learn more about optimizing image size

Why this matters

Performance issues directly impact user engagement and conversion rates.

	URL	Resource Size	Est Savings
div#container-b97c27b406 > div.nv-img-as-bg > picture > img#image-container-b97c27b406 `div#container-b97c27b406 > div.nv-img-as-bg > picture > img#image-container-b97c27b406`	/content/dam/en-zz/nvidiaweb/homepage/geforce/mfg/DLSS-4-...	302.3 KiB	154.8 KiB

These insights are also available in the Chrome DevTools Performance Panel - record a trace to view more detailed information.

Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric.

Why this matters

Performance issues directly impact user engagement and conversion rates.

TTI

The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Redirects introduce additional delays before the page can be loaded. Learn how to avoid page redirects.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Estimated savings: 2.3 s

URL	Time Spent
nvidia.com/	1.5 s
www.nvidia.com/	816 ms
www.nvidia.com/zh-tw/	0.0 ms

Diagnostics

Reduce unused rules from stylesheets and defer CSS not used for above-the-fold content to decrease bytes consumed by network activity. Learn how to reduce unused CSS.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Estimated savings: 620 ms 159.4 KiB

URL	Transfer Size	Est Savings
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.e...	125.7 KiB	120.8 KiB
	22.6 KiB	19.6 KiB
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-base.min.8...	19.3 KiB	19.0 KiB

Reduce unused JavaScript and defer loading scripts until they are required to decrease bytes consumed by network activity. Learn how to reduce unused JavaScript.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Estimated savings: 1.0 s 256.9 KiB

URL	Transfer Size	Est Savings
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundat...	135.7 KiB	107.9 KiB
cdn.cookielaw.org/scripttemplates/202601.1.0/otBannerSdk.js	126.9 KiB	67.3 KiB
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b...	59.2 KiB	43.6 KiB
assets.adobedtm.com/5d4962a43b79/96fada676f0e/launch-95431b44ee81.min.js	290.4 KiB	38.2 KiB

Consider reducing the time spent parsing, compiling, and executing JS. You may find delivering smaller JS payloads helps with this. Learn how to reduce Javascript execution time.

Why this matters

Performance issues directly impact user engagement and conversion rates.

URL	Total CPU Time	Script Evaluation	Script Parse
www.nvidia.com/zh-tw/	4.5 s	188 ms	20 ms
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.b...	3.1 s	1.5 s	38 ms
/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundat...	2.9 s	1.9 s	65 ms
Unattributable	2.2 s	108 ms	0.0 ms
cdn.cookielaw.org/scripttemplates/202601.1.0/otBannerSdk.js	884 ms	548 ms	69 ms
assets.adobedtm.com/5d4962a43b79/96fada676f0e/launch-95431b44ee81.min.js	723 ms	423 ms	262 ms
use.typekit.net/vvg2vkh.js	614 ms	543 ms	34 ms
/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e877...	305 ms	221 ms	25 ms
www.nvidia.com/akam/13/3f492ba	172 ms	157 ms	5.6 ms
www.nvidia.com/assets/account-wrapper/starfleet.js	61 ms	54 ms	5.4 ms

Consider reducing the time spent parsing, compiling and executing JS. You may find delivering smaller JS payloads helps with this. Learn how to minimize main-thread work

Why this matters

Performance issues directly impact user engagement and conversion rates.

Category	Time Spent
Script Evaluation	5.8 s
Other	3.5 s
Style & Layout	3.4 s
Rendering	1.6 s
Script Parsing & Compilation	576 ms
Garbage Collection	365 ms
Parse HTML & CSS	331 ms

Many navigations are performed by going back to a previous page, or forwards again. The back/forward cache (bfcache) can speed up these return navigations. Learn more about the bfcache

Why this matters

Performance issues directly impact user engagement and conversion rates.

Failure reason	Failure type
The page has an unload handler in the main frame.	Actionable

Minifying JavaScript files can reduce payload sizes and script parse time. Learn how to minify JavaScript.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Estimated savings: 0.0 ms 3.2 KiB

URL	Transfer Size	Est Savings
images.nvidia.com/aem-dam/Solutions/ot-js/ot-custom.js	10.8 KiB	3.2 KiB

Large network payloads cost users real money and are highly correlated with long load times. Learn how to reduce payload sizes.

Why this matters

Performance issues directly impact user engagement and conversion rates.

URL	Transfer Size
/etc/designs/nvidiaGDC/clientlibs_base/fonts/source-han-s...	12.9 MiB
/af/e2803a/00000000000000003b9b2caf/27/m?features=ALL&v=4...	4.5 MiB
/af/c47288/00000000000000003b9b2cac/27/m?features=ALL&v=4...	4.3 MiB
/af/a3d286/00000000000000003b9b2cab/27/m?features=ALL&v=4...	4.2 MiB
/af/47d128/00000000000000003b9b2caa/27/m?features=ALL&v=4...	4.0 MiB
www.nvidia.com/libs/cq/i18n/dict.zh-tw.json	656.4 KiB
/etc/designs/nvidiaGDC/clientlibs_base/fonts/font-awesome...	354.7 KiB
/etc/designs/nvidiaGDC/clientlibs_base/fonts/font-awesome...	320.5 KiB
/content/dam/en-zz/nvidiaweb/homepage/geforce/mfg/DLSS-4-...	303.4 KiB
assets.adobedtm.com/5d4962a43b79/96fada676f0e/launch-95431b44ee81.min.js	290.7 KiB

Set an explicit width and height on image elements to reduce layout shifts and improve CLS. Learn how to set image dimensions

Why this matters

Performance issues directly impact user engagement and conversion rates.

	URL
div#gtc26-skinny > div.nv-img-as-bg > picture > img#image-gtc26-skinny `div#gtc26-skinny > div.nv-img-as-bg > picture > img#image-gtc26-skinny`	/content/dam/en-zz/Solutions/homepage/v2/mfg/gtc26-web-sk...
Make Autonomous Agents More Secure by Design With NVIDIA OpenShell `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA Expands Open Models for Agentic and Physical AI `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
New Open Physical AI Data Factory Blueprint `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Build With OpenShell on NVIDIA DGX Spark and Station `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA Dynamo 1.0 Powers Multi-Node Inference at Production Scale `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Adobe and NVIDIA Announce Strategic Collaboration `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
AI is a Five-Layer Cake `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA 發表適用於代理 AI 之 Nemotron 3 模型系列 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
RTX AI Garage: NVIDIA Igniting the Next Era of AI With Locally Accelerated Agen… `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Bringing Design, Engineering, and Manufacturing Into the AI Era `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Dassault Systèmes and NVIDIA partner to Build Next-Gen Industrial AI Platform `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Amazon Devices & Services 運用 NVIDIA 技術實現零接觸製造流程 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA Expands Omniverse Blueprint for AI Factory Digital Twins `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA Blackwell RTX PRO 可適用於各式工作站與伺服器 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA 將推出實體人工智慧開放資料集，公開最大規模的合成資料集，推動實體人工智慧的開發 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA Omniverse 將隨著實體人工智慧的採用浪潮，擴大生態系統 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA 推出 fVDB ，以打造全球更大的數位模型 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA 結合數位孿生與即時人工智慧，實現工業自動化 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
利用 Autodesk Maya 的 OpenUSD 增強功能簡化 3D 工作流程 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA Blackwell 加快電腦輔助工程軟體的執行速度 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Earth-2 宣布新的 NIM `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
使用 NVIDIA ALCHEMI 徹底改變 AI 驅動的材料發現 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
透過 CUDA-Q 平台加速全球量子運算中心 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA AI 代工服務 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
宣布全新的加速量子經典運算系統 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
HPC 適用的 NVIDIA 框架 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
解決邊緣端的 HPC 問題 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Announcing NVIDIA DLSS 5 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA DLSS 4.5 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
RTX. It's On. `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
RTX Remix `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Frames Win Games `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
GeForce RTX 50 Series Graphics Cards and Desktops `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
GeForce RTX 50 系列筆記型電腦 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
The buzz from GDC 2026 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
RTX AI Garage: RTX-Powered Video Generation News `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Leading Automakers Adopt NVIDIA DRIVE Hyperion for L4 Vehicles `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Mercedes-Benz Unveils New S-Class Built on NVIDIA DRIVE AV `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
現代汽車集團建構 NVIDIA Blackwell AI 工廠 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA 推出全方位自動駕駛車輛安全系統 Halos `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
DRIVE AI 系統偵測實驗室用以改善自駕車安全 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
全球汽車合作夥伴展示人工智慧的未來 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA 運用 Omniverse Cloud API 大幅提升自動化系統開發 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
汽車製造商全新浪潮：採用 NVIDIA DRIVE 進行自動駕駛 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA IGX Thor™ Now Generally Available `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA IGX Thor 將 Blackwell 技術導入全新邊緣 AI 應用 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
The Ultimate Platform for Physical AI and Robotics `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Amazon Devices & Services 運用 NVIDIA 技術實現零接觸製造流程 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Hugging Face 和 NVIDIA 加速開源機器人 AI 的研究進展 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
推動 AI 機器人的新一波浪潮 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
使用 NVIDIA OSMO 擴充支援人工智慧機器人的開發工作負載 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
J&J 將打造採用人工智慧的數位和機器人手術平台 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
隆重介紹 Issac AMR `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA and Emerald AI Accelerate Power-Flexible AI Deployment `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA Launches Vera CPU, Purpose-Built for Agentic AI `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Storage Industry Adopts NVIDIA BlueField®-4 STX `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Introducing NVIDIA RTX PRO™ 4500 Blackwell Server Edition `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA DSX Air Boosts Time to Token With AI Factory Simulation `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA Launches New Era of Space Computing `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
New NVIDIA Vera Rubin DSX AI Factory Reference Design `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA 與 AWS 擴展完整堆疊合作夥伴關係 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
Global Computer Makers to Introduce AI-First DGX Personal Systems `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
介紹 NVIDIA DGX B300 系統 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
觀看 NVIDIA 執行長黃仁勳主題演講 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
一切從這裡開始 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
NVIDIA 執行長黃仁勳於 COMPUTEX 2025 發表主題演講 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
人工智慧工廠 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
黃仁勳與 Mark Zukergerg 探討人工智慧的重大進展 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
我們的故事 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
永續發展之路：人工智慧和加速運算可提升能源效率 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
可自行安排進度的人工智慧與資料科學職涯發展課程 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
了解 NVIDIA 企業故事 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7
秉持變革創新的理念，勇闖未知領域 `div.cmp-teaser__image > div.cmp-image > a.cmp-image__link > img.cmp-image__image`	data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7

More information about the performance of your application. These numbers don't directly affect the Performance score.

●Layout shift culprits

●Optimize DOM size

●Modern HTTP

●Optimize viewport for mobile

●Minify CSS

●Avoid long main-thread tasks 20 long tasks found

●Avoid non-composited animations 1 animated element found

●Network Requests

●Network Round Trip Times 240 ms

●Server Backend Latencies 70 ms

●Tasks

●Diagnostics

●Metrics

●Screenshot Thumbnails

●Final Screenshot

●Script Treemap Data

●Resources Summary

●Initial server response time was short Root document took 150 ms

●Avoid large layout shifts 2 layout shifts found

○INP breakdown

○User Timing marks and measures

Accessibility

These checks highlight opportunities to improve the accessibility of your web app. Automatic detection can only detect a subset of issues and does not guarantee the accessibility of your web app, so manual testing is also encouraged.

ARIA

Some ARIA parent roles must contain specific child roles to perform their intended accessibility functions. Learn more about roles and required children elements.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Failing Elements
TW Sign In `div.nav-header > div.nav-header-container > div.nav-tools-container > ul.nav-header-list`

These are opportunities to improve the usage of ARIA in your application which may enhance the experience for users of assistive technology, like a screen reader.

Visible text labels that do not match the accessible name can result in a confusing experience for screen reader users. Learn more about accessible names.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Failing Elements
TW `div.nav-tools-container > ul.nav-header-list > li#nv-cs-item-mob > a.nav-cs-link`

○Interactive controls are keyboard focusable

○Interactive elements indicate their purpose and state

○The page has a logical tab order

○Visual order on the page follows DOM order

○User focus is not accidentally trapped in a region

○The user's focus is directed to new content added to the page

○HTML5 landmark elements are used to improve navigation

○Offscreen content is hidden from assistive technology

○Custom controls have associated labels

○Custom controls have ARIA roles

●`[aria-*]` attributes match their roles

●`[aria-hidden="true"]` is not present on the document `<body>`

●`[role]`s have all required `[aria-*]` attributes

●`[role]`s are contained by their required parent element

●`[role]` values are valid

●`[aria-*]` attributes have valid values

●`[aria-*]` attributes are valid and not misspelled

●Buttons have an accessible name

●Image elements have `[alt]` attributes

●`[user-scalable="no"]` is not used in the `<meta name="viewport">` element and the `[maximum-scale]` attribute is not less than 5.

●ARIA attributes are used as specified for the element's role

●Elements with `role="dialog"` or `role="alertdialog"` have accessible names.

●`[aria-hidden="true"]` elements do not contain focusable descendents

●Elements use only permitted ARIA attributes

●Background and foreground colors have a sufficient contrast ratio

●Document has a `<title>` element

●`<html>` element has a `[lang]` attribute

●`<html>` element has a valid value for its `[lang]` attribute

●Links are distinguishable without relying on color.

●Links have a discernible name

●Lists contain only `<li>` elements and script supporting elements (`<script>` and `<template>`).

●List items (`<li>`) are contained within `<ul>`, `<ol>` or `<menu>` parent elements

●No element has a `[tabindex]` value greater than 0

●Touch targets have sufficient size and spacing.

●Heading elements appear in a sequentially-descending order

●`<html>` element has an `[xml:lang]` attribute with the same base language as the `[lang]` attribute.

●Document has a main landmark.

●Deprecated ARIA roles were not used

●Uses ARIA roles only on compatible elements

○`[accesskey]` values are unique

○`button`, `link`, and `menuitem` elements have accessible names

○ARIA input fields have accessible names

○ARIA `meter` elements have accessible names

○ARIA `progressbar` elements have accessible names

○Elements with the `role=text` attribute do not have focusable descendents.

○ARIA toggle fields have accessible names

○ARIA `tooltip` elements have accessible names

○ARIA `treeitem` elements have accessible names

○The page contains a heading, skip link, or landmark region

○`<dl>`'s contain only properly-ordered `<dt>` and `<dd>` groups, `<script>`, `<template>` or `<div>` elements.

○Definition list items are wrapped in `<dl>` elements

○ARIA IDs are unique

○No form fields have multiple labels

○`<frame>` or `<iframe>` elements have a title

○Input buttons have discernible text.

○`<input type="image">` elements have `[alt]` text

○Form elements have associated labels

○The document does not use `<meta http-equiv="refresh">`

○`<object>` elements have alternate text

○Select elements have associated label elements.

○Skip links are focusable.

○Cells in a `<table>` element that use the `[headers]` attribute refer to table cells within the same table.

○`<th>` elements and elements with `[role="columnheader"/"rowheader"]` have data cells they describe.

○`[lang]` attributes have a valid value

○`<video>` elements contain a `<track>` element with `[kind="captions"]`

○Tables have different content in the summary attribute and `<caption>`.

○All heading elements contain content.

○Image elements do not have `[alt]` attributes that are redundant text.

○Identical links have the same purpose.

○Tables use `<caption>` instead of cells with the `[colspan]` attribute to indicate a caption.

○`<td>` elements in a large `<table>` have one or more table headers.

Best Practices

General

Deprecated APIs will eventually be removed from the browser. Learn more about deprecated APIs.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Deprecation / Warning	Source
Unload event listeners are deprecated and will be removed.	/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e877... line 118, col 45
Synchronous XMLHttpRequest on the main thread is deprecated because of its detrimental effects to the end user's experience. For more help, check https://xhr.spec.whatwg.org/.	/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundat... line 258, col 20

●Uses HTTPS

●Avoids third-party cookies

●Allows users to paste into input fields

●Avoids requesting the geolocation permission on page load

●Avoids requesting the notification permission on page load

●Displays images with correct aspect ratio

●Serves images with appropriate resolution

●Page has the HTML doctype

●Properly defines charset

●No browser errors logged to the console

●No issues in the `Issues` panel in Chrome Devtools

●Ensure CSP is effective against XSS attacks

●Use a strong HSTS policy

●Ensure proper origin isolation with COOP

●Mitigate DOM-based XSS with Trusted Types

●Detected JavaScript libraries

●Page has valid source maps

○Redirects HTTP traffic to HTTPS

○Mitigate clickjacking with XFO or CSP

SEO

These checks ensure that your page is following basic search engine optimization advice. There are many additional factors Lighthouse does not score here that may affect your search ranking, including performance on Core Web Vitals. Learn more about Google Search Essentials.

Crawling and Indexing

If your robots.txt file is malformed, crawlers may not be able to understand how you want your website to be crawled or indexed. Learn more about robots.txt.

Why this matters

Performance issues directly impact user engagement and conversion rates.

Line #	Content	Error
91	`Allow: https://www.nvidia.com/llms.txt`	`Pattern should either be empty, start with "/" or "*"`

To appear in search results, crawlers need access to your app.

○Structured data is valid

●Page isn’t blocked from indexing

●Document has a `<title>` element

●Document has a meta description

●Page has successful HTTP status code

●Links have descriptive text

●Links are crawlable

●Image elements have `[alt]` attributes

●Document has a valid `hreflang`

●Document has a valid `rel=canonical`