Walrus & IO Supercharge AI Development with Decentralized GPU Power
Disrupting the AI arms race—without the centralized cloud markup.
Walrus and IO just dropped a decentralized one-two punch for AI builders: on-demand GPU access meets censorship-resistant storage. No more begging Big Tech for compute crumbs or praying your training data survives the next AWS outage.
The cynical take? VCs will still find a way to slap 10x valuations on this ''decentralized'' infrastructure while retail investors chase the token. But for devs? This could actually unclog the AI innovation pipeline.
AI compute is expected to need $5.2 trillion in investments to keep up with current demand in the next five years, while non-AI IT apps are expected to need much less than that at $1.5 trillion.
Walrus’s AI storage offering with IOo could help the Sui-based storage protocol see more adoption from AI builders and app devs, even from those outside of the crypto space.
The Walrus mainnet currently has 4,167 TB in total storage capacity, with about 26% of that being used right now. The protocol has 103 total operators across 121 storage nodes.
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