# Tutorials

Welcome! We have cooked up a few tutorials to help you get started on ByteNite.&#x20;

<table data-view="cards"><thead><tr><th></th><th data-type="content-ref"></th><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="image">Cover image</th><th data-hidden></th></tr></thead><tbody><tr><td><h2>Hello World</h2></td><td><a href="tutorials/hello-world">hello-world</a></td><td>Build a simple "Hello, World" app on ByteNite.</td><td><a href="tutorials/hello-world">hello-world</a></td><td><a href="https://1271894904-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FC4oKwqyUo55Lw35MjazY%2Fuploads%2FT6kogyHfYQ2LjLa3xDxP%2FAdobeStock_490529301%20Large.jpeg?alt=media&#x26;token=8fe51041-2ec6-4fef-b4f4-34d7af4c7f08">AdobeStock_490529301 Large.jpeg</a></td><td><em><mark style="color:purple;">~15min</mark></em></td></tr><tr><td><h2>Image Generation</h2></td><td><a href="https://github.com/ByteNite2/img-gen-diffusers">https://github.com/ByteNite2/img-gen-diffusers</a></td><td>Run a distributed image generation job using Pytorch and Diffusers on ByteNite.</td><td><a href="https://github.com/ByteNite2/img-gen-diffusers">https://github.com/ByteNite2/img-gen-diffusers</a></td><td><a href="https://1271894904-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FC4oKwqyUo55Lw35MjazY%2Fuploads%2F6Jv2DkOgo4vbUOB35ek1%2Fu7431618293_A_cover_for_a_developer_guide_called_Image_Genera_8de505b4-40c9-40df-87ec-b3864f0a9c2f_0.png?alt=media&#x26;token=0864a1cb-cfe1-47a3-99f2-e1b5513bd370">u7431618293_A_cover_for_a_developer_guide_called_Image_Genera_8de505b4-40c9-40df-87ec-b3864f0a9c2f_0.png</a></td><td><em><mark style="color:purple;">~45min</mark></em></td></tr><tr><td><h2>LLM Serving</h2></td><td><a href="https://github.com/ByteNite2/llm-serving">https://github.com/ByteNite2/llm-serving</a></td><td>Serve a quantized 17B Llama 4 Scout model using <code>llama-cpp-python</code> on ByteNite. </td><td></td><td><a href="https://1271894904-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FC4oKwqyUo55Lw35MjazY%2Fuploads%2F04tY56hsW89KWDrE1k33%2Fllm-serving-llama-meta-ai.webp?alt=media&#x26;token=06ae9aa9-d5af-4883-812d-4e4f64865c1c">llm-serving-llama-meta-ai.webp</a></td><td></td></tr><tr><td><h2>Web Scraping</h2></td><td><a href="https://github.com/ByteNite2/web-scraper">https://github.com/ByteNite2/web-scraper</a></td><td>Scrape Amazon product data at scale using Playwright, extracting titles, prices, and buyer counts on ByteNite.</td><td></td><td><a href="https://1271894904-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FC4oKwqyUo55Lw35MjazY%2Fuploads%2FL0QnvKcdXJhXVm8Zi0Oe%2Fweb-crawling-spider.webp?alt=media&#x26;token=d1899e5d-7aac-4e36-a666-11348f17149d">web-crawling-spider.webp</a></td><td></td></tr></tbody></table>

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