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    schema:name "The 3 Tiers of the AI Compute Race"@en ;
    schema:description "An interactive view of who is installing how much AI compute (megawatts) over time — US hyperscalers, Europe's Mistral, and China's giants and labs — and what it means geopolitically."@en ;
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:analysis a schema:Article ;
    schema:name "The 3 Tiers of the AI Compute Race — Analysis"@en ;
    schema:description "Comprehensive analysis of the global AI compute infrastructure buildout across three tiers: US hyperscalers, European sovereign AI (Mistral), and Chinese AI labs."@en ;
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    schema:description "The global competition to build AI compute infrastructure measured in megawatts and GPU clusters."@en ;
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    schema:description "The construction of AI-scale computing infrastructure reshaping datacenter, power generation, and labor markets."@en ;
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    schema:name "Geopolitics of AI Infrastructure"@en ;
    schema:description "The geopolitical implications of AI compute infrastructure distribution across US, Europe, and China."@en ;
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    schema:name "Tier 2 — Europe's Mistral"@en ;
    schema:description "Mistral AI's sovereign compute buildout: $830M debt financing, 13,800 Nvidia GB300 GPUs, 44MW Paris datacenter, 200MW Europe target by 2027."@en ;
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:chinaGiantsSection a schema:ArticleSection ;
    schema:name "Tier 3 — China's Giants & Labs"@en ;
    schema:description "China's alternative AI compute stack: ByteDance, Huawei Ascend, SMIC — building under US export controls."@en ;
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    schema:description "Compute nationalism, sovereignty, data residency, and the US-China war over intelligence-producing infrastructure."@en ;
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    schema:unitCode "USD" ;
    schema:datePosted "2026-03-30"^^xsd:date .

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    schema:description "US hyperscaler with $70B+ capex in 2026, deploying 300,000+ TPU v6/GB200 chips."@en ;
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:amazon a schema:Organization ;
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:meta a schema:Organization ;
    schema:name "Meta"@en ;
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    schema:description "US hyperscaler with $115-135B capex in 2026, planning 5GW Hyperion cluster with 1M+ Nvidia GPUs."@en ;
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    schema:name "Mistral Compute"@en ;
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    schema:description "Abu Dhabi's $100 billion AI investment vehicle, partner with Mistral, Bpifrance, and Nvidia for 1.4GW AI campus near Paris."@en ;
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    schema:name "Bpifrance"@en ;
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    schema:name "Eclairion"@en ;
    schema:description "Datacenter operator owning and operating Mistral's Paris facility at Bruyeres-le-Chatel."@en .

:byteDance a schema:Organization ;
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    schema:name "Huawei Ascend"@en ;
    schema:description "Huawei's AI chip platform, alternative to Nvidia GPUs for Chinese AI developers."@en ;
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    schema:name "SMIC"@en ;
    schema:description "Semiconductor Manufacturing International Corporation, China's leading chip foundry producing 7nm chips."@en ;
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:computeNationalism a schema:Thing ;
    schema:name "Compute Nationalism"@en ;
    schema:description "The geopolitical trend where nations treat AI compute infrastructure as sovereign strategic asset, controlling access and building domestic capacity."@en ;
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    schema:name "AI Sovereignty"@en ;
    schema:description "The principle that nations should control their own AI compute infrastructure, data, and models under domestic jurisdiction."@en ;
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    schema:name "Data Residency"@en ;
    schema:description "The requirement that data be stored and processed within a specific geographic jurisdiction, driving demand for sovereign compute."@en ;
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:usExportControls a schema:Thing ;
    schema:name "US Export Controls on AI Chips"@en ;
    schema:description "US restrictions on advanced AI chip exports (A100, H100, B200) to China and other Tier 3 countries, accelerating China's alternative compute stack."@en ;
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    schema:name "Nvidia"@en ;
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    schema:description "GPU manufacturer supplying GB300 Grace Blackwell chips to Mistral and hyperscalers worldwide."@en ;
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    schema:name "Nvidia GB300 Grace Blackwell"@en ;
    schema:description "Nvidia's latest generation AI training and inference accelerator, powering Mistral's 13,800 GPU cluster."@en ;
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    schema:name "FAQ: The 3 Tiers of the AI Compute Race"@en ;
    schema:description "Frequently asked questions about the global AI compute infrastructure buildout."@en ;
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    schema:name "What are the three tiers of the AI compute race?"@en ;
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:a1 a schema:Answer ;
    schema:name "Answer: Three tiers of AI compute"@en ;
    schema:text "Tier 1: US Hyperscalers (Microsoft, Google, Amazon, Meta) and frontier labs (OpenAI, Anthropic) with $700B+ capex. Tier 2: Europe's Mistral AI building sovereign compute with $830M debt, 44MW Paris DC, 200MW target. Tier 3: China's ByteDance and Huawei building alternative compute stack under US export controls."@en .

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    schema:name "How much are hyperscalers spending on AI infrastructure in 2026?"@en ;
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    schema:name "Answer: $700B+ collective capex"@en ;
    schema:text "The four largest hyperscalers (Microsoft, AWS, Google, Meta) are collectively committing approximately $700 billion in AI infrastructure capex in 2026, approaching or exceeding 100% of their operating free cash flow."@en .

:q3 a schema:Question ;
    schema:name "What is Mistral AI's compute buildout plan?"@en ;
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    schema:about :mistralAI .

:a3 a schema:Answer ;
    schema:name "Answer: 200MW across Europe by 2027"@en ;
    schema:text "Mistral secured $830M debt to build a 44MW Paris datacenter with 13,800 Nvidia GB300 GPUs (operational Q2 2026), invested 1.2B euros in Sweden, and targets 200MW total compute capacity across Europe by end of 2027. A 1.4GW campus near Paris is planned with MGX, Bpifrance, and Nvidia."@en .

:q4 a schema:Question ;
    schema:name "Why is Mistral building its own compute infrastructure?"@en ;
    schema:acceptedAnswer :a4 ;
    schema:about :aiSovereignty .

:a4 a schema:Answer ;
    schema:name "Answer: European AI sovereignty"@en ;
    schema:text "More than 80% of Europe's digital services depend on US cloud providers. Mistral Compute serves European governments, defense ministries, and regulated enterprises requiring AI compute under European jurisdiction and EU AI Act compliance — something Microsoft, AWS, and Google Cloud cannot offer."@en .

:q5 a schema:Question ;
    schema:name "What is the Stargate Project?"@en ;
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    schema:name "Answer: $500B US AI infrastructure target"@en ;
    schema:text "Stargate is a joint venture by OpenAI, SoftBank, Oracle, and MGX with $100B initial commitment and $500B target over four years for US AI infrastructure. By March 2026, it secured sites offering around 5GW of planned capacity across Texas and Arizona."@en .

:q6 a schema:Question ;
    schema:name "How is China building AI compute under US export controls?"@en ;
    schema:acceptedAnswer :a6 ;
    schema:about :usExportControls .

:a6 a schema:Answer ;
    schema:name "Answer: Alternative compute stack"@en ;
    schema:text "China is building an alternative AI compute stack through Huawei Ascend chips and SMIC 7nm manufacturing. ByteDance is deploying 36,000+ B200 GPUs in Malaysia alone with $15B+ estimated 2026 spend. US export controls on A100, H100, and B200 chips are accelerating China's domestic alternatives."@en .

:q7 a schema:Question ;
    schema:name "What is the power constraint in AI infrastructure?"@en ;
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    schema:about :datacenterBuildout .

:a7 a schema:Answer ;
    schema:name "Answer: Power is the binding constraint"@en ;
    schema:text "Grid interconnection queues have extended to 6+ years. The total US interconnection queue stands at approximately 2.3 TW, roughly double the entire installed generation capacity. A single 1GW AI campus rivals the electricity use of 800,000 households. The biggest trend in 2026 is building on-site power using natural gas generation."@en .

:q8 a schema:Question ;
    schema:name "What are neoclouds and why are they emerging?"@en ;
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    schema:name "Answer: Overflow valve for hyperscaler capacity"@en ;
    schema:text "Neoclouds (CoreWeave, Nebius, NScale, FluidStack, Crusoe) are purpose-built AI cloud providers emerging because hyperscaler balance sheets cannot grow fast enough to serve demand. They represent 10-20% of capex in AI data centers, financed by private credit, infrastructure funds, and sovereign capital."@en .

:q9 a schema:Question ;
    schema:name "How does Mistral compare to US hyperscalers in scale?"@en ;
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    schema:name "Answer: Significantly smaller but strategically positioned"@en ;
    schema:text "Mistral's 200MW target is significantly smaller than hyperscale clusters (Meta's 5GW Hyperion, OpenAI's 10GW infrastructure). However, Mistral's strategic position is sovereignty — serving European governments and enterprises that will not put sensitive data on American cloud infrastructure."@en .

:q10 a schema:Question ;
    schema:name "What is compute nationalism?"@en ;
    schema:acceptedAnswer :a10 ;
    schema:about :computeNationalism .

:a10 a schema:Answer ;
    schema:name "Answer: Nations treating AI compute as sovereign strategic asset"@en ;
    schema:text "Compute nationalism is the trend where nations treat AI compute infrastructure as a sovereign strategic asset, controlling access and building domestic capacity. The US AI Diffusion Rule established a three-tier licensing framework: Tier 1 (allied nations), Tier 2 (quantity caps), Tier 3 (full prohibition including China)."@en .

:q11 a schema:Question ;
    schema:name "What GPU is Mistral deploying in its Paris datacenter?"@en ;
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    schema:name "Answer: 13,800 Nvidia GB300 Grace Blackwell"@en ;
    schema:text "Mistral is deploying 13,800 Nvidia Grace Blackwell GB300 GPUs in its 44MW Paris datacenter at Bruyeres-le-Chatel. The GB300 is the chip generation powering most frontier AI training at OpenAI, Anthropic, and Google DeepMind."@en .

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    schema:name "What is the geopolitical significance of Mistral's debt financing?"@en ;
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    schema:name "Answer: European institutions backing AI sovereignty"@en ;
    schema:text "Seven European banks (BNP Paribas, Credit Agricole CIB, HSBC, MUFG, Bpifrance, La Banque Postale, Natixis CIB) underwrote $830M against AI infrastructure without requiring an equity backstop — the largest single debt deal a European AI company has executed. No US bank participated, signaling European institutional commitment to AI sovereignty."@en .

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    schema:description "Key terms from the 3 tiers of the AI compute race analysis."@en ;
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:termHyperscaler a skos:Concept ;
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    skos:definition "The principle that nations should control their own AI compute infrastructure under domestic jurisdiction, driving demand for sovereign compute providers like Mistral Compute in Europe."@en ;
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    rdfs:isDefinedBy : .

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:termPoweredShell a skos:Concept ;
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:termCapex a skos:Concept ;
    skos:prefLabel "Capex (Capital Expenditure)"@en ;
    skos:definition "Capital expenditure on infrastructure. Hyperscaler AI capex reached $437B in 2025, expected to exceed $700B in 2026, with Wall Street estimates pointing toward $850B+ in 2027."@en ;
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    rdfs:isDefinedBy : .

:termDataResidency a skos:Concept ;
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:termExportControls a skos:Concept ;
    skos:prefLabel "Export Controls"@en ;
    skos:definition "US restrictions on advanced AI chip exports (A100, H100, B200) to China and other Tier 3 countries, accelerating China's development of alternative compute stacks like Huawei Ascend."@en ;
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:termLiquidCooling a skos:Concept ;
    skos:prefLabel "Liquid Cooling"@en ;
    skos:definition "Advanced cooling technology required for AI datacenters due to extreme heat from high-density GPU clusters. Traditional air cooling is insufficient for modern AI workloads."@en ;
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    schema:name "How to Navigate the AI Compute Landscape"@en ;
    schema:description "Step-by-step guide for understanding and positioning within the AI compute infrastructure buildout."@en ;
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    schema:name "Step 1: Identify Your Tier Position"@en ;
    schema:text "Determine which tier you operate in: Tier 1 (hyperscaler-scale with $100B+ budgets), Tier 2 (sovereign regional players like Mistral with $1-10B), or Tier 3 (alternative stack builders under constraints). Your tier determines your strategic options and competitive dynamics."@en ;
    schema:about :aiComputeRace .

:step2 a schema:HowToStep ;
    schema:name "Step 2: Assess Power Availability"@en ;
    schema:text "Power is the binding constraint. Grid interconnection queues extend 6+ years. Evaluate on-site power options (natural gas generators as bridge), proximity to renewable energy, and transformer supply chain availability before committing to a site."@en ;
    schema:about :datacenterBuildout .

:step3 a schema:HowToStep ;
    schema:name "Step 3: Evaluate Sovereign Compute Options"@en ;
    schema:text "If operating in Europe or other regions with data residency requirements, evaluate sovereign compute providers like Mistral Compute. Consider whether US hyperscaler dependency creates strategic vulnerability for your use case."@en ;
    schema:about :aiSovereignty .

:step4 a schema:HowToStep ;
    schema:name "Step 4: Plan for Liquid Cooling"@en ;
    schema:text "AI workloads require liquid cooling. Traditional air-cooled datacenters cannot handle modern GPU densities. Factor custom-engineered liquid cooling and high-density power into any new build or retrofit plan."@en ;
    schema:about :termLiquidCooling .

:step5 a schema:HowToStep ;
    schema:name "Step 5: Consider Neocloud Partnerships"@en ;
    schema:text "If hyperscaler capacity is insufficient, evaluate neocloud providers (CoreWeave, Nebius, NScale). They offer purpose-built AI infrastructure financed by private credit and sovereign capital, representing the marginal capacity provider in a demand-saturated market."@en ;
    schema:about :termNeocloud .

:step6 a schema:HowToStep ;
    schema:name "Step 6: Monitor Export Control Impact"@en ;
    schema:text "Track US export control developments and their impact on GPU availability. If operating in a Tier 2 or Tier 3 country, develop alternative compute strategies using domestic chip suppliers (e.g., Huawei Ascend in China)."@en ;
    schema:about :termExportControls .

:step7 a schema:HowToStep ;
    schema:name "Step 7: Build the Powered Shell First"@en ;
    schema:text "Focus on achieving the powered shell milestone — a structurally complete building with power, cooling, and fiber installed. This is the earliest revenue-earning point and typically takes 18-30 months. GPU deployment can follow once the shell is ready."@en ;
    schema:about :termPoweredShell .

:neoclouds a schema:Thing ;
    schema:name "Neoclouds"@en ;
    schema:description "Purpose-built AI cloud providers emerging as overflow capacity for hyperscaler demand."@en ;
    rdfs:isDefinedBy : .

<https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/kg-generator#this> a schema:SoftwareApplication ;
    schema:name "kg-generator skill"@en ;
    schema:url <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/kg-generator> ;
    schema:description "Knowledge Graph Generator skill for transforming web content into RDF knowledge graphs using schema.org terms."@en ;
    owl:sameAs <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/kg-generator>,
               <https://github.com/anomalyco/opencode/tree/main/kg-generator>,
               <https://m-ric.com/blog/datacenter-buildout#kgGeneratorSkill> .

<https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill#this> a schema:SoftwareApplication ;
    schema:name "rdf-infographic-skill"@en ;
    schema:url <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill> ;
    schema:description "RDF-based HTML and Markdown Infographic Generation Skill."@en ;
    owl:sameAs <https://github.com/OpenLinkSoftware/ai-agent-skills/tree/main/rdf-infographic-skill>,
               <https://github.com/anomalyco/opencode/tree/main/rdf-infographic-skill>,
               <https://m-ric.com/blog/datacenter-buildout#rdf-infographic-skill> .
