Agent inference costs spiral as GPU supply tightens — devs compare cloud, self-hosted, decentralized options
aruthesa · reddit · 2026-10-20
A Reddit thread highlights how agent workloads — dozens to hundreds of model calls per task — make inference costs balloon once agents run autonomously, just as GPU supply tightens: Nvidia says HBM/memory constraints could last through 2028 and new data centers face power and permitting delays.
The poster asks teams running agents in production:
- Do they use big clouds, their own hardware, or APIs for inference?
- Have cost or GPU availability become real problems?
- Has anyone tried distributed/decentralized GPU networks, and how did latency and reliability hold up?
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