Brilliant roundup covering some critical inflection points. The local-first AI trend is fascinating because it flips the usual cloud gravity on its head. What caught my eye is the 60-80% cost reduction claim for continuous inference, which really only works if you're running nearl 24/7 workloads. I've seen a few teams try to bring inference in-house prematurely with bursty patterns and it became a sunk cost disaster. The real test is gonna be when organizations factor in the ops overhead of managing drivers, hardware lifecycles, and secuirty patching, which most cloud-first teams totally underestimate.
Yep, agreed. Great point. Makes sense if utilization is steady, but gets expensive fast if it isn’t—especially once you factor in maintenance.
Thanks for another insightful take on this week’s stories. I really do look forward to your commentary each time I post one of these. Would be fun to collab on a weekly zeitgeist article sometime - think you’d add some great insights.
Brilliant roundup covering some critical inflection points. The local-first AI trend is fascinating because it flips the usual cloud gravity on its head. What caught my eye is the 60-80% cost reduction claim for continuous inference, which really only works if you're running nearl 24/7 workloads. I've seen a few teams try to bring inference in-house prematurely with bursty patterns and it became a sunk cost disaster. The real test is gonna be when organizations factor in the ops overhead of managing drivers, hardware lifecycles, and secuirty patching, which most cloud-first teams totally underestimate.
Yep, agreed. Great point. Makes sense if utilization is steady, but gets expensive fast if it isn’t—especially once you factor in maintenance.
Thanks for another insightful take on this week’s stories. I really do look forward to your commentary each time I post one of these. Would be fun to collab on a weekly zeitgeist article sometime - think you’d add some great insights.