Videos
5 total
| Thumb | Title | Channel | Status | Published |
|---|---|---|---|---|
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Agents That Own Their Inference — Du'an Lightfoot & Khaja Omer, Akamai Technologies
Owning agent inference on a dedicated GPU is cheaper and faster than renting API intelligence for steady workloads:... |
AI Engineer | summarized | 2026-10-11 14:00 |
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GPU Died. Training Didn't: Self-Healing Training at Scale — Crusoe
Crusoe's autoclusters system makes GPU failures a non-event for large-scale training: a critical hardware error... |
AI Engineer | summarized | 2026-10-03 21:00 |
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KV Cache-Aware Routing and P/D Disaggregation on Kubernetes — Yuchen Fama & Ashish Kamra, Red Hat
LLMD's KV cache-aware routing and prefill-decode disaggregation address the chaotic inference patterns of agentic... |
AI Engineer | summarized | 2026-08-27 14:00 |
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Infra behind Krea 2: How to train and serve at scale — Gabriel Jorge Menezes, Krea.ai
Krea.ai trained K2, a diffusion transformer from scratch on thousands of GPUs, and built infrastructure to... |
AI Engineer | summarized | 2026-08-18 17:00 |
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Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub — Arek Borucki, Hugging Face
Hugging Face scaled its infrastructure to serve 3 million models and 14 million users by decoupling metadata storage... |
AI Engineer | summarized | 2026-07-28 13:41 |
Frontier News · by Hyperjump Technology