|
| 1 | +import React from 'react'; |
| 2 | +import Layout from '@theme/Layout'; |
| 3 | +import VideoEmbed from '@site/src/components/VideoEmbed'; |
| 4 | +import styles from './videos.module.css'; |
| 5 | + |
| 6 | +const videos = [ |
| 7 | + { |
| 8 | + id: 'lvzMLf6wXlY', |
| 9 | + title: 'Kubernetes Native Distributed Inferencing', |
| 10 | + description: 'Introduction to llm-d at DevConf.US 2025 — learn the fundamentals of distributed LLM inference on Kubernetes.', |
| 11 | + }, |
| 12 | + { |
| 13 | + id: 'mfXIe_S53vA', |
| 14 | + title: 'Serving PyTorch LLMs at Scale', |
| 15 | + description: 'Disaggregated inference with Kubernetes and llm-d — presented by M. Ayoub & C. Liu at PyTorch Conference.', |
| 16 | + }, |
| 17 | + { |
| 18 | + id: '_xAXb70d4-0', |
| 19 | + title: 'Distributed Inference with Well-Lit Paths', |
| 20 | + description: 'Explore llm-d\'s "well-lit paths" approach to simplified, production-ready distributed inference.', |
| 21 | + }, |
| 22 | + { |
| 23 | + id: 'g8_snJA_ESU', |
| 24 | + title: 'Multi-Accelerator LLM Inference', |
| 25 | + description: 'Deep dive into multi-accelerator LLM inference on Kubernetes — presented by Erwan Gallen at KubeCon.', |
| 26 | + }, |
| 27 | +]; |
| 28 | + |
| 29 | +function VideoCard({ video }) { |
| 30 | + return ( |
| 31 | + <div className={styles.videoCard}> |
| 32 | + <div className={styles.videoWrapper}> |
| 33 | + <VideoEmbed videoId={video.id} responsive={true} /> |
| 34 | + </div> |
| 35 | + <div className={styles.videoInfo}> |
| 36 | + <h3 className={styles.videoTitle}>{video.title}</h3> |
| 37 | + <p className={styles.videoDescription}>{video.description}</p> |
| 38 | + </div> |
| 39 | + </div> |
| 40 | + ); |
| 41 | +} |
| 42 | + |
| 43 | +export default function Videos() { |
| 44 | + return ( |
| 45 | + <Layout |
| 46 | + title="Videos" |
| 47 | + description="Watch videos about llm-d: a Kubernetes-native high-performance distributed LLM inference framework"> |
| 48 | + <main className={styles.videosPage}> |
| 49 | + <div className={styles.heroSection}> |
| 50 | + <div className={styles.heroContent}> |
| 51 | + <h1 className={styles.heroTitle}> |
| 52 | + <span className={styles.heroIcon}>▶</span> |
| 53 | + Learn llm-d |
| 54 | + </h1> |
| 55 | + <p className={styles.heroSubtitle}> |
| 56 | + Explore our video collection to learn about llm-d's capabilities, |
| 57 | + architecture, and best practices for deploying LLM inference at scale. |
| 58 | + </p> |
| 59 | + </div> |
| 60 | + </div> |
| 61 | + |
| 62 | + <div className={styles.container}> |
| 63 | + <div className={styles.videoGrid}> |
| 64 | + {videos.map((video) => ( |
| 65 | + <VideoCard key={video.id} video={video} /> |
| 66 | + ))} |
| 67 | + </div> |
| 68 | + </div> |
| 69 | + |
| 70 | + <div className={styles.ctaSection}> |
| 71 | + <h2 className={styles.ctaTitle}>Ready to get started?</h2> |
| 72 | + <p className={styles.ctaText}> |
| 73 | + Dive into our documentation or join our community to learn more. |
| 74 | + </p> |
| 75 | + <div className={styles.ctaButtons}> |
| 76 | + <a href="/docs/guide" className={styles.ctaButtonPrimary}> |
| 77 | + Read the Docs |
| 78 | + </a> |
| 79 | + <a href="/slack" className={styles.ctaButtonSecondary}> |
| 80 | + Join Slack |
| 81 | + </a> |
| 82 | + </div> |
| 83 | + </div> |
| 84 | + </main> |
| 85 | + </Layout> |
| 86 | + ); |
| 87 | +} |
| 88 | + |
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