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FLUENCE offers cloud grade compute at up to ~85 % lower cost by tapping a global decentralized infrastructure.
#DePIN
#Cloudless
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It feels like the next cycle is shifting toward infrastructure more than anything else. The stack behind AI, DePIN, and real-world networks is finally taking shape. Here’s what stands out right now: • FLT (Fluence) — enabling cloudless, decentralized compute for AI models and high-demand applications without relying on centralized cloud providers. • $NODL — expanding real-world connectivity through distributed wireless networks powered by actual devices. • $IOTX — building trusted machine identity and verifiable data pipelines for AI and IoT systems. • $WLD — pushing forward global digital identity, which AI-driven ecosystems will ultimately require. What I’m noticing: These projects aren’t competing they’re forming layers of the same emerging stack. As AI workloads scale, compute, connectivity, and identity all begin to reinforce each other. And that’s where FLT fits naturally: powering the compute backbone that ties this new decentralized infrastructure together. #DePIN #CLOUD
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It feels like the next cycle is shifting toward infrastructure more than ever the stack behind AI, DePIN, and real-world networks is finally taking shape. Here’s what stands out to me: • FLT (Fluence) — enabling cloudless, decentralized compute for AI models and high-demand applications without relying on centralized cloud providers. • $NODL — expanding real-world connectivity through distributed wireless networks powered by actual devices. • $IOTX — building trusted machine identity and verifiable data pipelines for AI and IoT systems. • $WLD — pushing forward global digital identity, something AI-driven networks will ultimately rely on. What I’m noticing: These projects aren’t competing they’re forming different layers of the same emerging stack. As AI workloads explode, decentralized compute, device networks, and identity all start to feed into each other. That’s where Fluence ($FLT) fits naturally: powering the compute backbone for this new decentralized infrastructure.
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DePIN Is Becoming the Quiet Backbone of Web3 What’s interesting lately is how fast the DePIN sector is maturing. Real networks, real hardware, and real user demand not just speculation. FLT (Fluence) fits cleanly into this shift by solving the compute layer. As more DePIN networks scale, decentralized GPU + CPU execution becomes a requirement, not an add-on. At the same time, other trending DePIN tokens like $IOTX, $IO, and $RLY are showing how broad the ecosystem is becoming: $IOTX → device-level identity + real-world connectivity $IO → decentralized storage + retrieval for global apps $RLY → token-driven participation networks FLT → cloudless compute powering AI + high-demand workloads Different domains but all pushing the same direction: A decentralized physical infrastructure stack built from the ground up. Feels like DePIN is becoming the most real part of Web3.
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AI, DePIN, and decentralized compute are driving a narrative shift that feels deeper than a hype cycle. Here are 3 tokens that keep popping up across tooling, dev chats, and infra discussions: • $FLT (Fluence) — cloudless compute for AI + DePIN apps, removing dependence on centralized cloud. • $AKT (Akash) — decentralized GPU marketplace powering the AI surge. • $TAO (Bittensor) — open network for AI model training and incentive alignment. Together they map out a new stack: Compute → Intelligence → Execution. Fluence stands out because it fills the execution gap the layer where decentralized workloads actually run. Without it, AI+DePIN infra remains incomplete.
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Did you know $FLT ( Fluence) isn’t just a token it also tokenises real-world compute infrastructure, letting you earn from nodes powering AI workloads. #DePIN. #CLOUD
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