Why decentralized compute solves the startup GPU cost squeeze
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Argues startups pay up to 70-80% of funding to centralized compute providers who are also their competitors. Decentralized GPU markets like io.net cluster idle GPUs and claim up to 90% lower cost.
Key claims
Up to 70-80% of startup funding goes to compute
io.net cuts compute cost up to 90% vs centralized providers
This paradox is a barrier to innovation that we need to solve/overcome.
Many (comparably) small companies / startups are building specialized AI models in niche verticals where they see a chance to provide a superior solution vs. the market dominating giants.
Equally, many startups are building AI-driven applications across various verticals, that ultimately all strongly depend on the underlying model and compute that powers its training and inference.
To successfully train proprietary models, and in order to successfully scale adoption, builders need access to massive amounts of compute, which poses a crucial bottleneck.
It means that startups have to ultimately pay exactly the companies that they are trying to compete with (be it on model level or in terms of AI-powered apps), for the desperately needed compute.
Amid the exploding demand for compute, a veritable global GPU shortage, and a largely centralized supply side, this results in a highly unsustainable setup for small players, where up to 70-80% of startup funding flows into paying for said compute, and ultimately incumbent pockets.
DeAI, or more specifically decentralized compute markets like @ionet, solve this problem by clustering otherwise idle GPU resources globally at scale in a geo-distributed manner, cutting compute cost up to 90% vs. centralized legacy providers.
This democratizes access to compute for builders everywhere, and provides a superior solution to a multi-billion dollar market in hyper-growth.
Definitely worth studying this anon.
QUOTING @MTorygreen
Cloud GPU costs are silently killing startups. 70-80% of capital going straight to centralized compute isn't just an expense - it's an existential tax on innovation. Startups don't reach escape velocity because they're paying the very incumbents that they're trying to disrupt.
Cloud GPU costs are silently killing startups. 70-80% of capital going straight to centralized compute isn't just an expense - it's an existential tax on innovation. Startups don't reach escape velocity because they're paying the very incumbents that they're trying to disrupt.