Little Green Tags

by Jay Cuthrell
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This week we take a look at the past, present, and future of FinOps strategies for A.I. workloads.

This week’s musical inspiration in title and lyrics:

Getting Informed

Perhaps you’ve been shocked by a public cloud bill. Perhaps you’ve heard from peers that were shocked by a public cloud bill.

Perhaps you are being asked to do more with A.I. in a public cloud. Perhaps you are wondering if your cloud operating model or your cloud adoption framework tagging and metadata strategies of the past will apply today or in the future.

Now it’s time for reading 📖, listening 🎧, watching 📺 suggestions:

Lookin’ back on the track for a little greenback 🎶

Granted, you might have heard of FinOps or maybe have your FinOps certification. You might even recall all dozen references to FinOps in Fudge Sunday over the past couple years.

Screenshot 2023-09-03 at 5.49.16 PM.png

Well, this week’s issue will make a baker’s dozen[1] references to FinOps. Specifically, A.I. will require a mix of both conventional wisdom and unconventional wisdom[1:1] when approached from a FinOps perspective.

What does the platform team need to consider for landing zones meant for A.I. workloads?

Lookin’ back on the track, gonna do it my way 🎶

Is there a FinOps for A.I. required? Will there be newer players besides AWS, Azure, GCP, and OCI that come into FinOps calculations and consideration?

Perhaps there was an earlier answer back in late 2021.

Perhaps that answer was confirmed again last week.

In fact, there was a case made last month for avoiding hyperscale public cloud service providers entirely — and embracing the 10th Other “R” of cloud… i.e. Repatriation.

So, what will be the next big thing in FinOps strategies for A.I. workloads?

Until then… Place your bets!


I am linking to my disclosure.

  1. You should subscribe to Matt Baker’s Unconventional Wisdom newsletter if you haven’t already – good stuff!
    🤓 ↩︎ ↩︎


✍️ 🤓 Edit on Github 🐙 ✍️

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