DePIN and
#AI is starting to feel inevitable.
AI keeps getting bigger.
Bigger models. Bigger training. Bigger costs.
But almost all of it still runs on a few centralized clouds.
That doesn’t really match the whole point of Web3.
So lately I’ve been paying more attention to projects trying to decentralize compute itself not tokens, not speculation actual infrastructure.
Because if AI is the future, compute is the fuel.
A few networks I think are quietly shaping this shift:
• $FLT —
@Fluence This one stands out to me. It’s building a decentralized, serverless compute layer where developers can run apps and AI tasks across distributed providers.
Not just “rent a node” but verifiable, open compute. Feels like the kind of backend Web3 apps actually need.
• $AKT — @Akash Network
More of a marketplace model. Anyone can supply or rent compute globally, often cheaper than traditional cloud. Makes a lot of sense for AI training workloads.
• $AIO —
@AiCoin官方 Started with decentralized streaming/CDN, now moving into AI + edge compute. Turning everyday devices into part of the infrastructure is a clever angle.
•
$RENDER —
@Render Network GPU-focused. Rendering + AI workloads. Shows how specialized decentralized compute can sometimes outperform centralized setups for certain tasks.
• $GRASS —
@Grass Official Sharing unused bandwidth to power data and AI pipelines. Simple concept, very scalable.
What I’m noticing overall:
DeFi moves capital.
NFTs move culture.
But DePIN + AI might move the real-world infrastructure.
And without infrastructure… nothing else runs.
Feels like this side of Web3 is less loud, but way more fundamental.
Curious what others are watching in the DePIN/AI space.
#DePIN #Web3 #Crypto