Ever wondered what actually makes Fluence run behind the scenes? Spoiler alert, it’s not magic, it’s FLT. ✨⚙️
The FLT token is basically the economic engine of the Fluence network. It secures the system, coordinates compute between providers and users, and pushes value back into the ecosystem. Providers stake FLT to commit capacity, earn yield for staying online, and get paid in USDC when their hardware is actively rented.
FLT also sits at the center of @Fluence DAO governance, where holders get to influence upgrades, treasury decisions, and long-term direction. And because Fluence generates real protocol revenue, FLT benefits from buybacks, reduced supply, and new utilities such as pFLT staking and RWA-linked yield.
As the network grows, FLT isn’t just a token, it becomes the coordination layer and economic record of real compute activity happening across the entire platform.
💡 Fluence ($FLT): Building the Decentralized AI Cloud, 85% Cheaper! 💡
While the market focuses on trading volume, some projects are heads-down building the foundation. @Fluence ($FLT),a micro-cap with enterprise-grade ambition in the Decentralized Physical Infrastructure (DePIN) sector.
Fluence is quietly tackling centralized cloud giants by offering Decentralized GPU Compute that is up to 85% cheaper than major providers, a huge win for AI and Web3 developers.
Real Revenue: They use fees from non-crypto clients to buy back and burn $FLT, directly linking token value to real network utility.
Infrastructure Focus: The roadmap targets a Global GPU Marketplace, positioning $FLT as essential #DePIN infrastructure for the future of #AI.
Fluence is a foundational builder, not a hype project. #DePIN
The Next Evolution of DePIN: Why $FLT is the Glue for $AKT, $ATH, and
I've been deep-diving into the decentralized cloud stack, and it's clear we're moving past the "raw resource" phase. Projects like Akash Network ($AKT ), Aethir ($ATH), Theta Network ($THETA), and Fluence ($FLT) are all chipping away at centralized cloud monopolies, but they're not competitors, they're pieces of a much bigger puzzle.
🧐 What I'm Noticing in the DePIN Stack There’s a clear division of labor happening, driven by specialization: Theta ($THETA): The veteran focused on Bandwidth & Media. Think decentralized CDN, video delivery, and edge caching. It's the primitive for content infrastructure. Akash ($AKT): The horizontal layer for Raw Compute. It’s a "supercloud" marketplace for data centers to offer general-purpose CPU compute and storage, the decentralized AWS EC2. Aethir ($ATH): The highly specialized layer for High-End GPU Power. Explicitly targeting low-latency AI inference and cloud gaming with enterprise-grade GPUs. Fluence ($FLT): The Abstraction Layer that sits above all of them. It's a serverless platform that doesn't sell "raw metal," but a programmable, verifiable runtime. The pattern is simple: Akash, Theta, and Aethir specialize in what physical resource they decentralize. Fluence specializes in how developers use it.
💡 Connecting the Dots to Fluence's Mission This is where Fluence's ($FLT) core mission comes into sharp focus: to turn fragmented DePIN building blocks into an open, switchable, verifiable alternative to today’s cloud monopolies. Fluence is aiming to be the "cloudless" orchestrator. If you're a developer, you don't want to build an app that's locked into one network (e.g., just $AKT for CPU or just $ATH for GPU). You want a simple, serverless experience like you get with AWS or Google Cloud, but decentralized, cheaper, and verifiable. The Plausible Future Stack: A user loads a video - $THETA handles the decentralized streaming.The video's backend is hosted on general compute - $AKT provides the CPU capacity.The app's new AI feature requires massive parallel processing - $ATH provides the GPU inference.$FLT is the serverless platform and orchestration layer that routes the workload to the right provider ($AKT, $ATH, a traditional data center, or any other DePIN) and ensures the execution is verifiable and resilient, all without the developer needing to rewrite their app. This shift from renting individual hardware slices to using a unified, verifiable "cloudless" platform is the true move toward Web3 utility. Fluence isn't trying to replace $AKT or $ATH; it's trying to make them, and any other capacity, composable and accessible. What are your thoughts? Is this the missing layer needed for DePIN to go mainstream?
Some projects make noise. Others just quietly build the future while everyone’s looking the other way. Fluence is definitely the second type. 🚀😄
At the center of the DePIN & AI wave, @Fluence is building a cloudless compute network that actually solves the problems centralized cloud never could. High costs, limited control, and increasing censorship risks. And instead of talking, they’ve been shipping.
Fluence recently rolled out decentralized GPU workloads that deliver up to 85% cheaper compute than traditional cloud providers, with GPU containers already live and even more bare-metal and VM support on the way. Their Vision 2026 roadmap doubles down on scaling a global GPU marketplace, enterprise-grade compute, and better tooling for AI and Web3 developers.
Even better, Fluence is one of the rare networks linking revenue directly to the token through ongoing revenue-backed buybacks, showing confidence in real adoption rather than hype. And in true #DePIN spirit, their model taps into demand from non-crypto clients, meaning real-world revenue, not just speculation.
Despite flying under the radar with almost no social noise, Fluence continues to grow its stack, expand capacity, and refine its cloudless compute vision.
In short: Fluence is that project quietly assembling the pieces needed for decentralized AI and compute to actually work at scale. Still early, still underrated, but building exactly where the future is heading.
Ever wished cloud GPUs didn’t feel like paying rent in Victoria Island? 😅 Well… now they don’t.
You can spin up high-performance GPU instances in seconds, at 80% lower cost, with clear, predictable pricing and full control over every workload on @Fluence
No surprises, no runaway bills, just pure compute power when you need it.
💥 Say goodbye to cloud headaches and hello to “Cloudless” power! 💻✨
Fluence is shaking up the enterprise compute game, spinning up virtual servers across top-tier data centers for Web3 and AI projects.
Think of it as a resilient, open, and cost-efficient alternative to AWS or Google Cloud without the centralization drama.
Whether you’re crunching AI models or running blockchain nodes, Fluence has you covered with high-performance AMD Zen5 hardware spread across global data centers. High throughput, rock-solid reliability, and zero cloud vendor lock-in—now that’s compute done right. 🚀
Check it out! 👉 https://www.fluence.network/get-started
Fluence is giving $TON builders a serious boost. 🚀
The DePIN compute platform is offering Cloudless Compute Credits that can cut infrastructure costs by up to 85%, while still powering heavy dApps, node services, and even AI workloads with top-tier hardware like NVIDIA H100 GPUs.
Teams get lower costs, high-performance compute, and hands-on onboarding to get everything running smoothly. Builders can access up to $5K in credits, growing projects up to $10K, and enterprise teams receive custom allocations based on their needs.
If your TON project already has an MVP and real infrastructure demands whether you're working with data, nodes, gaming, or AI. This is a perfect fit.
DePIN Showdown: ICP, GLM, GEOD, & The Serverless Challenger ($FLT)
DePIN is exploding. But where should builders and investors focus their attention? Here is a quick breakdown of four major projects, categorized by their role:
$ICP , $GLM , $GEOD and $FLT.
Internet Computer (ICP) is a Layer 1 decentralized cloud that runs full stack apps directly onchain, with smart contracts (canisters) that can also talk to other chains and the web. Golem (GLM) is a decentralized marketplace for computing power on Ethereum and other chains. GEODNET (GEOD) is a DePIN for real world positioning and timing. It runs a network of space weather and GNSS stations that provide high precision GPS correction data, used for autonomous vehicles, agriculture and "proof of location" style blockchain applications. Fluence (FLT) is a decentralized, serverless compute and storage marketplace. It aggregates excess capacity in data centers into a "cloudless" DePIN network and uses FLT for staking by compute providers, payments and DAO governance. What this means: All four are DePIN, but ICP is a general purpose L1, Golem and Fluence compete more directly as decentralized cloud/compute marketplaces, while GEOD is a specialized location and space weather network. WHY FLUENCE STANDS OUT Fluence is a focused, cloudless serverless DePIN network, built to make decentralized compute feel as simple as using cloud functions. Compared to ICP: ICP is a full Layer-1 world computer. Fluence is narrower, chain-agnostic and developer-focused, removing most of the complexity and offering a cleaner serverless experience. Compared to Golem: Golem rents raw CPU/GPU power. Fluence operates at a higher level, composable, serverless functions—reducing orchestration work for developers. Compared to GEODNET: GEOD is a DePIN network for precise GPS and space-weather data. Fluence is general-purpose, enabling AI, APIs and data workflows across many use cases. What this means: Fluence is the most developer-friendly and serverless-centric option among the four. Fluence aims to be the coordination layer that makes diverse DePIN hardware feel like one programmable cloud. It’s earlier and smaller than the others, but its position gives it high-upside potential if DePIN converges toward unified, cloud-like developer experiences.
Visit fluence.network to read extensively on Fluence.
Fluence lets you launch virtual servers in minutes at up to 85% lower cost, no lock-ins, no hidden pricing, no centralized choke points.
Just transparent, predictable compute from a distributed network of enterprise-grade providers.
If you’re tired of paying premium prices just to run simple workloads, or you want more control over where and how your servers run, Fluence’s cloudless approach is honestly a breath of fresh air.
Decentralized, cheaper, flexible and live today. Definitely worth checking out. 🚀
You can launch virtual servers in minutes and the best part? They come at up to 85% lower cost. No surprises, no crazy billing. Just clean, simple, predictable pricing.
You’re not locked into any provider. You stay in full control of your workloads, your data, your setup, everything. And you can deploy anywhere across Fluence’s global network of enterprise-grade data centers.
🔍 A few projects feel like they’re quietly shaping where Web3 infra is heading and Fluence keeps showing up at the center of that shift.
Lately I’ve been noticing a pattern across several networks:
• Fluence ($FLT) is pushing hard on decentralized compute that’s actually usable for devs. Permissionless, peer-to-peer, and aligned with the emerging DePIN & AI infra narrative. It fits naturally into this movement because it isn’t trying to be another “general L1,” it’s building the backbone for apps that need distributed execution without depending on centralized clouds.
• Flux ($FLUX ) takes decentralization to the extreme with its Proof of Useful Work. GPU miners handling real workloads like AI research, weather modeling, and encoding. It’s one of the few infra plays truly solving the single-point-of-failure problem.
• Nillion ($NIL ) is attacking the privacy side of the same equation. Blind computation, encrypted databases, and privacy-preserving AI. As more apps lean into personalized AI, the ability to compute without revealing data becomes critical.
• Lisk ($LSK ) continues pivoting into a more interoperable, application-friendly ecosystem, giving developers a simpler path into wider modular chains and real-world use cases.
Across all four, the theme is pretty clear: compute, privacy and decentralization are finally merging into a usable stack.
Fluence sits in an interesting spot within that bigger picture. Flux brings raw decentralized GPU power. Nillion brings privacy-preserving computation. Lisk brings accessible developer tooling and interoperability.
But Fluence is the layer that turns “distributed resources” into actual, permissionless execution that applications can rely on.
It doesn’t try to replace these networks instead, it complements them by handling the part nobody else fully solves:
✔ running logic without centralized servers. ✔ coordinating compute across many peers. ✔ giving developers a way to build resilient, serverless Web3 apps.
Ever get tired of relying on the same old cloud providers that slow you down, overcharge you, or just go offline out of nowhere? Yeah, same here.
That’s why what @Fluence is building actually stands out.
Fluence Cloudless Virtual Servers give you decentralized, high-performance compute powered by enterprise-grade hardware across certified data centers, without any traditional cloud in the middle.
It’s flexible, scalable, and way more cost-efficient, giving you real control over your workloads instead of being locked into centralized platforms.
Imagine running AI, apps & blockchain nodes without risking a global outage.
That’s what @Fluence offers, a decentralized cloudless compute with a difference. It offers GPUs up to 85% cheaper than traditional clouds, used by real companies.
FLT powers governance, staking, and tokenized hardware, with revenue buybacks making it deflationary. The future of reliable, affordable compute is here.
Yet another Cloudflare outage and once again, a single centralized failure takes huge chunks of the internet with it. When everything depends on one control plane, one mistake brings global downtime.
DePIN fixes this.
Distributed infrastructure spreads compute and bandwidth across many independent providers, so there’s no global blast radius and no single point that can collapse the whole stack.
@Fluence takes this even further with cloudless compute, no central control plane at all, no chokepoint, no “one outage takes everyone down” moment.
Centralized clouds keep breaking the internet.
Decentralized infra is how we finally stop repeating the same lesson.$
In a world where AI is growing faster than the compute needed to power it, @Fluence is positioning FLT as the token that fuels the entire engine.
FLT powers Fluence’s decentralized compute network, helping match rising global demand with real, affordable, enterprise-grade hardware.
It’s easy to trade, gives holders governance power, and provides exposure to real-world tokenized compute capacity. Stakers can earn up to 20% APR, and the platform already generates over $1M in revenue while saving customers more than $2.5M compared to centralized clouds. FLT also has deflationary buybacks that reduce supply over time.
Put simply: Fluence is turning real compute power into a decentralized financial system and FLT sits at the center of it all.
Fluence had launched low-cost GPU compute for AI workloads, with GPU containers available now and GPU VMs & bare metal coming soon. 🔥
This upgrade is powered by a new partnership with Spheron Network, giving developers access to decentralized, enterprise-grade GPUs at up to 85% cheaper than centralized cloud providers.
@Fluence already runs a successful CPU marketplace generating $1M+ ARR and saving customers $3.5M compared to traditional clouds. Their network supports thousands of blockchain nodes for major clients like NEO, Zeeve, AR.IO, and others.
The new GPU offering aligns with Fluence’s Vision 2026 to scale decentralized compute globally. Developers can start deploying today on the Fluence Console, marking a major step forward for decentralized AI infrastructure.