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fix: apply formatting fixes to page-content.tsx
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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packages/app/src/components/page-content.tsx

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@@ -256,24 +256,26 @@ export function PageContent({ initialTab = 'inference' }: { initialTab?: string
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<section>
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<Card data-testid="intro-section">
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<h2 className="text-lg font-semibold mb-2">
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Open Source Continuous Inference Standard and Research Platform trusted by Operators of Trillion Dollar Token Factories
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Open Source Continuous Inference Standard and Research Platform trusted by
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Operators of Trillion Dollar Token Factories
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</h2>
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<p className="text-muted-foreground mb-2">
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As the world progresses exponentially towards AGI, software development and model releases move at the speed of light.
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Existing benchmarks rapidly become obsolete due to their static nature, and participants
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often submit software images purpose built for the benchmark itself which do not reflect
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real world performance
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As the world progresses exponentially towards AGI, software development and model
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releases move at the speed of light. Existing benchmarks rapidly become obsolete
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due to their static nature, and participants often submit software images purpose
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built for the benchmark itself which do not reflect real world performance
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</p>
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<p className="text-muted-foreground mb-2">
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<strong>InferenceX</strong> (formerly InferenceMAX) is our independent, reproducible
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benchmark which addresses these issues by continously benchmarking inference software
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across an wide range of AI accelerators that is acutally available to the the ML community.
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We continously update the benchmarks to capture the speed of progress.
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<strong>InferenceX</strong> (formerly InferenceMAX) is our independent,
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reproducible benchmark which addresses these issues by continously benchmarking
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inference software across an wide range of AI accelerators that is acutally
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available to the the ML community. We continously update the benchmarks to capture
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the speed of progress.
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</p>
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<p className="text-muted-foreground">
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Our open data & insights is widely adopted by the ML community, capacity planning strategy teams at trillion dollar token factories & AI Labs
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& at multiple billion dollar NeoClouds.
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Learn more in our articles:{' '}
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Our open data & insights is widely adopted by the ML community, capacity planning
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strategy teams at trillion dollar token factories & AI Labs & at multiple billion
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dollar NeoClouds. Learn more in our articles:{' '}
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<a
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href="https://newsletter.semianalysis.com/p/inferencemax-open-source-inference"
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target="_blank"

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