{
  "@context": "https://schema.org",
  "@type": "TechArticle",
  "@id": "https://anchorfact.org/kb/ai-hardware-accelerators",
  "headline": "AI Hardware: NVIDIA H100/B200, TPUs, and Cerebras",
  "description": "AI hardware has become the primary bottleneck and enabler of AI progress. NVIDIA dominates the GPU market (H100→B200 pipeline); Google TPUs and Cerebras wafer-scale chips offer alternative architectures for specialized workloads.",
  "dateCreated": "2026-05-24T02:49:13.551Z",
  "dateModified": "2026-05-24",
  "author": {
    "@type": "Organization",
    "name": "AnchorFact"
  },
  "publisher": {
    "@type": "Organization",
    "name": "AnchorFact",
    "url": "https://anchorfact.org"
  },
  "license": "https://creativecommons.org/licenses/by/4.0/",
  "anchorfact:confidence": "high",
  "anchorfact:generationMethod": "ai_assisted",
  "citation": [
    {
      "@type": "CreativeWork",
      "name": "NVIDIA H100 Tensor Core GPU Architecture",
      "sameAs": "https://resources.nvidia.com/en-us-tensor-core"
    },
    {
      "@type": "CreativeWork",
      "name": "Cerebras WSE-3: The Fastest AI Chip in the World",
      "sameAs": "https://www.cerebras.net/product-chip/"
    }
  ]
}