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13 changes: 9 additions & 4 deletions src/pages/videos.js
Original file line number Diff line number Diff line change
Expand Up @@ -7,22 +7,27 @@ const videos = [
{
id: 'lvzMLf6wXlY',
title: 'Kubernetes Native Distributed Inferencing',
description: 'Introduction to llm-d at DevConf.US 2025 — learn the fundamentals of distributed LLM inference on Kubernetes.',
description: 'Introduction to llm-d at DevConf.US 2025 — learn the fundamentals of distributed LLM inference on Kubernetes from Rob Shaw (Red Hat).',
},
{
id: 'mfXIe_S53vA',
title: 'Serving PyTorch LLMs at Scale',
description: 'Disaggregated inference with Kubernetes and llm-d — presented by M. Ayoub & C. Liu at PyTorch Conference.',
description: 'Disaggregated inference with Kubernetes and llm-d — presented by Maroon Ayoub (IBM) & Cong Liu (Google) at PyTorch Conference.',
},
{
id: '_xAXb70d4-0',
title: 'Distributed Inference with Well-Lit Paths',
description: 'Explore llm-d\'s "well-lit paths" approach to simplified, production-ready distributed inference.',
description: 'Watch Rob Shaw (Red Hat) explore llm-d\'s "well-lit paths" and its approach to simplified, production-ready distributed inference.',
},
{
id: 'g8_snJA_ESU',
title: 'Multi-Accelerator LLM Inference',
description: 'Deep dive into multi-accelerator LLM inference on Kubernetes — presented by Erwan Gallen at KubeCon.',
description: 'Deep dive into multi-accelerator LLM inference on Kubernetes — presented by Erwan Gallen (Red Hat) at KubeCon.',
},
{
id: '-C76naL3PRc',
title: 'Routing Stateful AI Workloads in Kubernetes',
description: 'Maroon Ayoub (IBM) & Michey Mehta (Red Hat) explore cache-aware routing strategies for LLM workloads using llm-d and the K8s Gateway API Inference Extension.',
},
];

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35 changes: 21 additions & 14 deletions src/pages/videos.module.css
Original file line number Diff line number Diff line change
Expand Up @@ -82,14 +82,32 @@

/* Video Grid */
.videoGrid {
display: grid;
grid-template-columns: repeat(2, 1fr);
display: flex;
flex-wrap: wrap;
justify-content: center;
gap: 2.5rem;
}

/* Video Card */
.videoCard {
flex: 0 1 calc(50% - 1.25rem);
max-width: calc(50% - 1.25rem);
background: #fff;
border-radius: 16px;
overflow: hidden;
box-shadow:
0 4px 6px rgba(127, 49, 127, 0.06),
0 12px 24px rgba(127, 49, 127, 0.08);
transition: transform 0.3s ease, box-shadow 0.3s ease;
}

@media screen and (max-width: 900px) {
.videoCard {
flex: 0 1 100%;
max-width: 100%;
}

.videoGrid {
grid-template-columns: 1fr;
gap: 2rem;
}

Expand All @@ -102,17 +120,6 @@
}
}

/* Video Card */
.videoCard {
background: #fff;
border-radius: 16px;
overflow: hidden;
box-shadow:
0 4px 6px rgba(127, 49, 127, 0.06),
0 12px 24px rgba(127, 49, 127, 0.08);
transition: transform 0.3s ease, box-shadow 0.3s ease;
}

.videoCard:hover {
transform: translateY(-6px);
box-shadow:
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