Fireside Chat

on YouTube ↗19m

" summary

Customer examples show concrete wins: a CXM platform moves Amazon OpenSearch and Amazon EKS workloads to Graviton instances, reducing latency 36%, improving price‑performance up to 40%, and finishing migration in two weeks; a travel distribution service adopts EC2 Spot and Graviton, cutting costs 64% and boosting CPU performance 40% within three weeks; ML workloads on Inferentia/Inf1 and Inf2 report up to 9x throughput per dollar and drastic latency reductions.

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" chapters (8)

1. 0:00Introduction and welcome
2. 1:24Customer-focused silicon innovations
3. 3:31Graviton success story with Sprinklr
4. 8:09Cost savings and frugality principle
5. 9:11Webbeds migration to Spot and Graviton
6. 13:04Trainium and Inferentia for ML workloads
7. 17:37Nitro system and future innovations
8. 18:41Customer innovation and closing remarks

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