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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. Building a data lake of detailed information about energy use of many physical devices.

AWS 64
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Over specialisation is considered good in industries such as healthcare and aviation but in software engineering over specialisation can be a blocker. Unlike healthcare and aviation where practices don't change over the decades, software technology is changing every day. product) don't change over a long period. Probably yes.