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One family. Font stacks name Zen and fall back to the native faces, tokens name the role rather than a face, and the packages that used to supply a face now point at @hanzo/font. Self-hosted @font-face blocks are removed rather than renamed: rewriting the family in one would leave a src pointing at a file this repo no longer ships. @hanzo/font carries the binaries and declares the faces, so the local copies go with the declaration that used them. Comments naming a face we no longer use are deleted, not reworded.
42 lines
2.5 KiB
HTML
42 lines
2.5 KiB
HTML
<!DOCTYPE html>
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<html lang="en" class="scroll-smooth">
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<head>
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<meta charset="UTF-8" />
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<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<!-- Primary Meta Tags -->
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<title>Zoo Computer - On-Demand AI Supercomputing | DGX, H100, H200 GPU Access</title>
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<meta name="title" content="Zoo Computer - On-Demand AI Supercomputing | DGX, H100, H200 GPU Access" />
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<meta name="description" content="Access NVIDIA DGX systems, H100 and H200 GPUs on-demand. Start with DGX Spark at $4,000 for 100 hours of compute. Enterprise AI infrastructure by Zoo Labs Foundation." />
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<meta property="og:type" content="website" />
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<meta property="og:url" content="https://zoo.computer/" />
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<meta property="og:title" content="Zoo Computer - On-Demand AI Supercomputing | DGX, H100, H200 GPU Access" />
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<meta property="og:description" content="Access NVIDIA DGX systems, H100 and H200 GPUs on-demand. Start with DGX Spark at $4,000 for 100 hours of compute. Enterprise AI infrastructure by Zoo Labs Foundation." />
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<meta property="og:image" content="https://zoo.computer/og-image.jpg" />
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<meta property="twitter:card" content="summary_large_image" />
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<meta property="twitter:url" content="https://zoo.computer/" />
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<meta property="twitter:title" content="Zoo Computer - On-Demand AI Supercomputing | DGX, H100, H200 GPU Access" />
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<meta property="twitter:description" content="Access NVIDIA DGX systems, H100 and H200 GPUs on-demand. Start with DGX Spark at $4,000 for 100 hours of compute. Enterprise AI infrastructure by Zoo Labs Foundation." />
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<meta property="twitter:image" content="https://zoo.computer/og-image.jpg" />
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<meta name="twitter:site" content="@zoo" />
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<meta name="keywords" content="AI supercomputing, NVIDIA DGX, H100 GPU, H200 GPU, GPU rental, AI infrastructure, machine learning, deep learning, cloud GPU, DGX Spark, Zoo Computer, Zoo Labs" />
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<meta name="author" content="Zoo Labs Foundation" />
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<meta name="robots" content="index, follow" />
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<link rel="canonical" href="https://zoo.computer/" />
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<body class="bg-dark-bg">
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<div id="root"></div>
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<script type="module" src="/index.tsx"></script>
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</body>
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</html> |