Event Schema
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"@type": "Event",
"name": "NVIDIA GTC Berlin 2026",
"description": "Join developers, researchers, and industry leaders at the #1 AI Conference in Berlin. Explore agentic AI, robotics, accelerated computing, open models, and more. Over 100 sessions spanning the full AI stack. Featuring a live keynote by NVIDIA CEO Jensen Huang at the Tempodrom.",
"startDate": "2026-10-20",
"endDate": "2026-10-22",
"url": "https://www.nvidia.com/en-eu/gtc/",
"image": "https://www.nvidia.com/content/dam/en-zz/Solutions/gtc/berlin/homepage/gtc26-berlin-web-homepage-p0-og-1200x630.jpg",
"eventStatus": "https://schema.org/EventScheduled",
"eventAttendanceMode": "https://schema.org/OfflineEventAttendanceMode",
"location": {
"@type": "Place",
"name": "STATION-Berlin / Tempodrom",
"address": {
"@type": "PostalAddress",
"streetAddress": "Luckenwalder Str. 4–6",
"addressLocality": "Berlin",
"postalCode": "10963",
"addressCountry": "DE"
}
},
"organizer": {
"@type": "Organization",
"name": "NVIDIA",
"url": "https://www.nvidia.com"
},
"performer": [
{
"@type": "Person",
"name": "Jensen Huang",
"jobTitle": "CEO",
"affiliation": {
"@type": "Organization",
"name": "NVIDIA"
}
},
{
"@type": "Person",
"name": "Kari Briski",
"jobTitle": "VP, AI Software Product Management",
"affiliation": {
"@type": "Organization",
"name": "NVIDIA"
}
},
{
"@type": "Person",
"name": "Bryan Catanzaro",
"jobTitle": "VP, Applied Deep Learning Research",
"affiliation": {
"@type": "Organization",
"name": "NVIDIA"
}
},
{
"@type": "Person",
"name": "Kimberly Powell",
"jobTitle": "VP/GM, Healthcare",
"affiliation": {
"@type": "Organization",
"name": "NVIDIA"
}
},
{
"@type": "Person",
"name": "Robin Rombach",
"jobTitle": "Co-Founder & CEO",
"affiliation": {
"@type": "Organization",
"name": "Black Forest Labs"
}
},
{
"@type": "Person",
"name": "Jörg Burzer",
"jobTitle": "Member of the Board of Management, Chief Technology Officer, Development & Procurement",
"affiliation": {
"@type": "Organization",
"name": "Mercedes-Benz Group AG"
}
}
],
"keywords": "AI conference, agentic AI, robotics, accelerated computing, LLM, GPU, NVIDIA CUDA, physical AI, open models, Berlin 2026",
"inLanguage": "en",
"sameAs": [
"https://www.facebook.com/NVIDIAGTC",
"https://www.linkedin.com/showcase/nvidia-gtc/",
"https://twitter.com/NVIDIAGTC"
]
}
</script>
BreadcrumbList Schema
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Home",
"item": "https://www.nvidia.com/en-us/"
},
{
"@type": "ListItem",
"position": 2,
"name": "GeForce",
"item": "https://www.nvidia.com/en-us/geforce/"
},
{
"@type": "ListItem",
"position": 3,
"name": "News",
"item": "https://www.nvidia.com/en-us/geforce/news/"
},
{
"@type": "ListItem",
"position": 4,
"name": "DLSS This Week: CoD MW4, Crossout & DLSS 5 Faster | NVIDIA",
"item": "https://www.nvidia.com/en-us/geforce/news/dlss-4-5-crossout-remastered-modern-warfare-4-frame-gen-beta/"
}
]
}
</script>
NewsArticle Schema
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "NewsArticle",
"headline": "DLSS This Week: CoD MW4, Crossout & DLSS 5 Faster | NVIDIA",
"description": "Call of Duty: MW4 Campaign Early Access starts Oct 16 with DLSS 4.5. DLSS 5's AI model is 10X faster. FG Preset C beta is now live via NVIDIA app.",
"mainEntityOfPage",
"datePublished": "2026-10-13T06:00:00-07:00",
"dateModified": "2026-10-13T06:00:00-07:00",
"author": {
"@type": "Person",
"name": "Andrew Burnes"
},
"publisher": {
"@type": "Organization",
"name": "NVIDIA"
},
"mainEntityOfPage": {
"@type": "WebPage",
"@id": "https://www.nvidia.com/en-us/geforce/news/dlss-4-5-crossout-remastered-modern-warfare-4-frame-gen-beta//"
},
"articleSection": "Featured Stories",
"keywords": ["nvidia","geforce","rtx","dlss 5","dlss 4.5","3d guided neural rendering","ray tracing","path tracing","ray reconstruction","super resolution","frame generation","multi frame generation","dynamic multi frame generation","dlaa","reflex","among the trolls","arc raiders","call of duty modern warfare 4","crossout remastered","gear club unlimited 3","hogwarts legacy","nba 2k27","pax autocratica","permafrost","rtx remix","rtx spark laptops","where winds meet","frame generation preset c","geforce rtx 50 series","geforce rtx 40 series"]
}
</script>
VideoObject
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "VideoObject",
"name": "Call of Duty: Modern Warfare 4 | Campaign Trailer",
"description": "From Korea to the farthest reaches of the globe, Task Force 141 faces a war with no borders. Witness the epic conclusion. Follow Call of Duty on X, Instagram, Facebook, TikTok, Discord, Threads, and Bluesky for the latest intel.",
"thumbnailUrl": "https://img.youtube.com/vi/yLFRQaQT0qM/maxresdefault.jpg",
"embedUrl": "https://www.youtube.com/embed/yLFRQaQT0qM",
"url": "https://www.youtube.com/watch?v=yLFRQaQT0qM",
"uploadDate": "2026-09-17",
"publisher": [
{
"@type": "Organization",
"name": "Call of Duty"
},
{
"@type": "Organization",
"name": "Infinity Ward"
}
],
"keywords": ["call of duty modern warfare 4", "mw4 campaign trailer", "task force 141", "modern warfare 4", "call of duty campaign", "infinity ward", "CallofDuty", "mw4"]
}
</script>
ItemList Schema
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "ItemList",
"name": "NVIDIA RTX Spark – Help Me Choose",
"description": "Compare RTX Spark AI PC configurations from 24GB to 128GB. Find the best Windows laptop or desktop for local AI, content creation, and gaming.",
"url": "https://www.nvidia.com/en-us/products/rtx-spark/help-me-choose/",
"numberOfItems": 5,
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "RTX Spark 24GB – Essential",
"description": "Create, play, and run everyday AI with cloud help when needed. Runs local AI models up to 12B parameters, fast image and video generation, hardware-accelerated 4:2:2 video, interactive 3D rendering, and 1440p gaming at 100+ FPS with NVIDIA DLSS.",
"url": "https://www.nvidia.com/en-us/products/rtx-spark/"
},
{
"@type": "ListItem",
"position": 2,
"name": "RTX Spark 32GB – Essential",
"description": "Handle complex creative projects and run AI models locally. Runs local AI models up to 25B parameters, fast image and video generation, hardware-accelerated 4:2:2 video, interactive 3D rendering, and 1440p gaming at 100+ FPS with NVIDIA DLSS.",
"url": "https://www.nvidia.com/en-us/products/rtx-spark/"
},
{
"@type": "ListItem",
"position": 3,
"name": "RTX Spark 48GB – Advanced",
"description": "Power demanding workflows locally—fast, private, and without recurring cloud fees. Runs local AI models up to 60B parameters, agents run locally, advanced image and video generation, hardware-accelerated 4:2:2 video, interactive 3D rendering, and 1440p gaming at 100+ FPS with NVIDIA DLSS.",
"url": "https://www.nvidia.com/en-us/products/rtx-spark/"
},
{
"@type": "ListItem",
"position": 4,
"name": "RTX Spark 64GB – Advanced",
"description": "Run the largest AI models with agents tackling complex tasks in parallel, locally. Runs local AI models up to 90B parameters, agents run locally, advanced image and video generation, hardware-accelerated 4:2:2 video, render 3D scenes up to 45GB, and 1440p gaming at 100+ FPS with NVIDIA DLSS.",
"url": "https://www.nvidia.com/en-us/products/rtx-spark/"
},
{
"@type": "ListItem",
"position": 5,
"name": "RTX Spark 128GB – Ultimate",
"description": "Run the largest AI models up to 200B parameters with advanced agents locally, no per-token costs. Ultimate image and video generation, hardware-accelerated 4:2:2 video, render 3D scenes up to 90GB, and 1440p gaming at 100+ FPS with NVIDIA DLSS.",
"url": "https://www.nvidia.com/en-us/products/rtx-spark/"
}
]
}
</script>
WebPage Schema
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "WebPage",
"name": "Preorder NVIDIA RTX Spark AI Laptops & Desktops | NVIDIA",
"description": "Preorder NVIDIA RTX Spark — AI and RTX graphics in slim laptops and small desktops. Built for creators, developers, and gamers.",
"url": "https://www.nvidia.com/en-us/products/rtx-spark/",
"inLanguage": "en-US",
"publisher": {
"@type": "Organization",
"name": "NVIDIA",
"url": "https://www.nvidia.com",
"sameAs": "https://twitter.com/NVIDIA"
},
"keywords": "NVIDIA RTX Spark, AI PC, Windows AI laptop, AI desktop PC, local AI models, RTX laptop, Blackwell GPU, CUDA AI PC"
}
</script>
ImageObject Schema
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "ImageObject",
"name": "007 First Light Path Tracing Comparison 1 — Path Tracing ON",
"description": "007 First Light path tracing ON comparison showing accurate lighting, caustics, reflected light on art installation floor, correct shadowing, accurate light occlusion and new reflections enhancing realism.",
"url": "https://www.nvidia.com/content/dam/en-zz/nvidiaweb/geforce/news/007-first-light-path-tracing-dlss-4-5-ray-reconstruction-update-out-now/007-first-light-geforce-rtx-path-tracing-dlss-4-5-ray-reconstruction-comparison-001-on.jpg",
"contentUrl": "https://www.nvidia.com/content/dam/en-zz/nvidiaweb/geforce/news/007-first-light-path-tracing-dlss-4-5-ray-reconstruction-update-out-now/007-first-light-geforce-rtx-path-tracing-dlss-4-5-ray-reconstruction-comparison-001-on.jpg",
"encodingFormat": "image/jpeg"
}
</script>
FAQPage Schema
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is the SGLang Summit, and when and where is it taking place?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The SGLang Summit is the first-ever event bringing together experts, practitioners, and builders for hands-on training and deep-dive sessions on getting the most out of SGLang on NVIDIA. It takes place on November 12–13 at Fort Mason in San Francisco."
}
},
{
"@type": "Question",
"name": "Who should attend the SGLang Summit?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The summit is designed for developers, programmers, IT professionals, AI researchers, and technical decision-makers who want to stay ahead of the latest open source inference breakthroughs."
}
}
]
}
</script>
