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fix and add nscale page
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<!---
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WARNING
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This markdown file has been generated from a script. Please do not edit it directly.
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### Template
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If you want to update the content related to nscale's description, please edit the template file under `https://github.com/huggingface/hub-docs/tree/main/scripts/inference-providers/templates/providers/nscale.handlebars`.
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### Logos
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If you want to update nscale's logo, upload a file by opening a PR on https://huggingface.co/datasets/huggingface/documentation-images/tree/main/inference-providers/logos. Ping @wauplin and @celinah on the PR to let them know you uploaded a new logo.
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Logos must be in .png format and be named `nscale-light.png` and `nscale-dark.png`. Visit https://huggingface.co/settings/theme to switch between light and dark mode and check that the logos are displayed correctly.
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### Generation script
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For more details, check out the `generate.ts` script: https://github.com/huggingface/hub-docs/blob/main/scripts/inference-providers/scripts/generate.ts.
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--->
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# Nscale
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<div class="flex justify-center">
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<a href="https://www.nscale.com/" target="_blank">
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<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/inference-providers/logos/nscale-light.png"/>
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<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/inference-providers/logos/nscale-dark.png"/>
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</a>
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</div>
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<div class="flex">
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<a href="https://huggingface.co/nscale" target="_blank">
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<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg.svg"/>
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<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/follow-us-on-hf-lg-dark.svg"/>
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</a>
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</div>
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Nscale is a vertically integrated AI cloud that delivers bespoke, sovereign AI infrastructure at scale.
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Built on this foundation, Nscale's inference service empowers developers with a wide range of models and ready-to-use inference services that integrate into workflows without the need to manage the underlying infrastructure.
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## Supported tasks
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scripts/inference-providers/scripts/generate.ts

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);
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await Promise.all(
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Object.entries(PER_PROVIDER_TASKS).map(async ([provider, tasks]) => {
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INFERENCE_PROVIDERS.map(async (provider) => {
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const tasks = PER_PROVIDER_TASKS[provider] || []; // Get tasks or use an empty array if none
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const rendered = await renderTemplate(provider, "providers", {
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tasksSection: PROVIDER_TASKS_TEMPLATE({ tasks }),
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followUsSection: FOLLOW_US_BUTTON_TEMPLATE({

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