I have been paying close attention to how DePIN and decentralized compute are gaining real traction across Web3. As AI workloads continue to scale, the limitations of centralized cloud infrastructure cost, resilience, and vendor lock-in are becoming harder to overlook. This shift feels less like speculation and more like infrastructure evolving to meet real demand.
Fluence $FLT: stands out here. By aggregating underutilized data-center capacity into a verifiable global compute network, it offers a practical alternative for running AI and backend workloads without relying on a single cloud provider. To me, it feels like a natural evolution of how cloud services should work.
Alongside that, Chainlink $LINK : continues to play a critical role in decentralized infrastructure by securely connecting on-chain systems with real-world data, which becomes even more important as AI-driven and DePIN applications grow.
IOTA $IOTA : brings a different angle, focusing on machine-to-machine communication and data integrity key foundations for IoT-heavy DePIN use cases.
Meanwhile, livepeer $LPT : highlights how decentralized networks can deliver scalable video and media processing, reinforcing the broader shift toward community-owned infrastructure.
If this trajectory holds, 2026 could be a turning point where decentralized infrastructure moves from experimentation to becoming foundational. It’s a space I’m watching closely for long-term impact rather than short-term narratives.
if you are diving into @Fluence , don’t just watch the token. explore the developer side too. Deploying even a small service helps you understand how demand for $FLT grows as real usage scales
You know how everyone talks about “decentralized everything” but then most dApps are literally just running on AWS with a wallet connect button? Yeah, that’s been bugging me. So I started looking at what’s actually being built on the infrastructure side. Kept running into the same names: $FLT, $AR , $TAOand peaq Here’s my extremely simplified take:
$TAO : AI stuff, training models across networks. Honestly still wrapping my head around this one but the concept is wild.
$AR : you can store stuff forever without paying monthly fees. Cool, but storage alone doesn’t do much.
$PEAQ : DePIN infrastructure for real-world devices and machines. Interesting angle on connecting physical hardware to blockchain.
$FLT ( @Fluence ) : this one clicked for me because it is focused on peer-to-peer compute. Like, your dApp needs to run actual code somewhere that is not Ethereum (because gas fees lol) and is not some company’s server. That’s the gap Fluence is trying to fill. The thing is… we really do need this stuff. If Web3 is just “blockchain + AWS” then what’s even the point? I am not saying “Fluence” or any of these are guaranteed wins. But at least they are working on the right problem. Decentralized storage, decentralized compute, decentralized intelligence these are the actual building blocks. Am I overthinking this or does anyone else see it the same way?
If you have been putting off AI projects because GPU costs are insane, @Fluence just launched some budget-friendly options that might change your mind. This is huge for indie developers and students who can’t drop thousands on cloud computing. You can finally train models and run experiments without watching your credit card bill explode.
@Fluence is not just “decentralized compute.” It’s about owning execution.
By letting apps run on permissionless, verifiable infrastructure, Fluence removes cloud lock-in and single points of failure while staying performant enough for real workloads like Web3 backends, DePIN services, and AI agents.
@Fluence Network has now crossed $1M in revenue 💰 What stands out to me is how this happens: -Progress is quiet at first -Then it compounds -And only after real revenue shows up does the market pay attention
When I look at the current wave of trending tokens, what stands out isn’t just price action it is the story they’re telling about where Web3 is heading. $GRT (the Graph): has become the backbone of querying blockchain data. It’s about making decentralized information accessible and usable, which is critical for scaling dApps. $FIL (filecoin): continues to push decentralized storage forward, proving that data doesn’t have to live in centralized silos. $AR (Arweave): adds permanence to the mix, ensuring that what’s stored can live on-chain indefinitely. Together, these projects highlight a clear narrative: Web3 is about data sovereignty, accessibility, and resilience. And then there is $FLT ( @Fluence ). What makes Fluence stand out is how it connects these threads. Instead of just focusing on storage or indexing, Fluence is building a decentralized compute layer where applications can run without relying on centralized servers. In a way, it complements the missions of $GRT , $FIL , and $AR by asking: what happens once you have decentralized data? You need decentralized execution to truly complete the picture. #DePIN #altcoins
🏗️ INFRASTRUCTURE is THE NEW FRONTIER in WEB3 and MESSARI’s CRYPTO THESIS UNDERSCORES THAT!!!
Real-world infrastructure and compute layers are core to the next phase of decentralization. Therefore, Networks that unlock physical and digital resources; compute, storage, connectivity without centralized gatekeepers are becoming essential.
✨ @Fluence ($FLT) fits these narratives with her;
• Permissionless distributed compute that turns idle CPUs into a decentralized execution layer.
@Fluence is not trying to replace your stack it removes the cloud lock-in behind it. You keep familiar tools, but your compute runs on a permissionless network. Quiet upgrade, big long-term payoff.
If you are building DePIN or AI apps, start by deploying just one service on @Fluence . You get decentralized, bare-metal compute with familiar APIs no cloud lock-in, no complex setup. Scale only when you need it.
You can use @Fluence $FLT to run decentralized apps without managing servers your app’s logic lives on the network, and anyone can interact with it directly. Perfect for building truly trustless Web3 experiences.