Built decades ago, traditional cloud giants optimized for one world: centralized workloads that tolerate delays, operations running on predictable demand curves. Everything was designed around that playbook.
But robotics rewrites the rules. Autonomous systems demand instant responsiveness, dynamic bandwidth allocation, and edge intelligence. They laugh at the latency tolerance that made legacy cloud viable. The demand? Anything but predictable—spikes, crashes, real-time processing needs that centralized infrastructure simply wasn't engineered to handle.
When you need deterministic performance at scale, the old model doesn't just bend. It breaks.
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RugPullSurvivor
· 16h ago
Centralized cloud architecture is really an old relic that should retire; with robotics coming in, it’s exposed immediately. Latency tolerance? That's laughable; robots simply don’t accept this setup. Current demand peaks fluctuate like a roller coaster, and traditional clouds simply can't handle it, so edge computing has to step in to save the day.
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TokenomicsTrapper
· 16h ago
lmao "the old model breaks" — yeah no shit, been saying this since 2019 when aws started sweating over edge compute. everyone's acting like this is some revelation but actually if you read the infrastructure contracts, the latency problem was baked in from day one. classic vc move, sell the centralized dream till reality forces the pivot
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DegenDreamer
· 16h ago
The centralized cloud architecture is indeed an old relic that should be phased out. The emergence of robotics and AI has directly exposed all its weaknesses... Latency tolerance is a joke when faced with real-time requirements.
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0xLostKey
· 16h ago
This centralized cloud architecture is an old relic; it really can't handle robots and autonomous systems... The latency tolerance system should have been discarded long ago.
The Wall Behind Centralized Cloud Architecture
Built decades ago, traditional cloud giants optimized for one world: centralized workloads that tolerate delays, operations running on predictable demand curves. Everything was designed around that playbook.
But robotics rewrites the rules. Autonomous systems demand instant responsiveness, dynamic bandwidth allocation, and edge intelligence. They laugh at the latency tolerance that made legacy cloud viable. The demand? Anything but predictable—spikes, crashes, real-time processing needs that centralized infrastructure simply wasn't engineered to handle.
When you need deterministic performance at scale, the old model doesn't just bend. It breaks.