Stanford lab, centered on AI analysis, will use the decentralized cloud computing platform Theta EdgeCloud for its work on LLMs.
The decentralized cloud might be the answer for AI’s huge computing wants. On April 17, Theta Labs revealed that Stanford College’s AI would use Theta (THETA) EdgeCloud in its work on massive language fashions. The lab, led by Assistant Professor Ellen Vitercik, will use the platform for discrete optimization and algorithmic reasoning of LLMs.
Stanford joins a rising listing of educational establishments utilizing the decentralized platform for analysis. In accordance with Theta Labs, different adopters of EdgeCloud embody Seoul Nationwide College, Korea College, the College of Oregon, Michigan State College, and extra.
Large tech and decentralized providers compete for AI compute
Large tech corporations have been quickly increasing their funding in computing infrastructure, particularly one geared towards powering AI. In 2024, Microsoft invested $3.3 billion in a knowledge middle in Wisconsin, with the backing of Joe Biden’s administration.
On the similar time, Amazon acknowledged it plans to spend $11 billion on knowledge facilities in Indiana. Google, then again, goes world, investing $1.1 billion in its knowledge middle in Finland and constructing one other one in Malaysia for $2 billion.
Nonetheless, the massive tech mannequin isn’t the one one competing for AI workloads. Not like most conventional LLM providers, Theta EdgeCloud operates as a decentralized cloud computing platform. Its infrastructure is geographically distributed, which means it doesn’t depend on large centralized knowledge facilities to supply compute energy.
As an alternative, the platform makes use of blockchain expertise to reward smaller GPU suppliers based mostly on the income they generate from customers. This permits Theta to function with decrease capital expenditures and scale extra rapidly. In flip, it presents extra reasonably priced infrastructure for customers.
Theta Community is a blockchain protocol initially designed for decentralized video streaming. Nevertheless, the community has since expanded to supply decentralized infrastructure for cloud computing, with a selected concentrate on AI purposes.
