
Thinking about compute platforms in the age of AI
Finding synergy
Over the past 15-20 years in my day-to-day (working) life I’ve been thinking a lot about compute platforms. Starting with hands-on operational experience and learning to operate systems at scale. Also with creating systems architecture and design, which requires a lot of forward thinking and planning. In that work, we usually look at platform aspects in relative isolation. This helps to limit discussion but also can trip you up by overlooking or under-emphasizing significance of some aspects. By virtue of doing this work long enough, over time a bigger picture on the subject matter has emerged/materialized that has really helped me make better decisions. I’d thought I’d take the opportunity to organize my brain a bit on this topic by writing it all(?) down in this post and hopefully share some useful insights.
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