The crypto world rarely sees a project with real traction before its token launches. In most cases, teams release a whitepaper, generate hype through airdrops, and hope to ship later. But Spheron is flipping this model. It already has over 100 projects integrating with its infrastructure, before the $SPON token even hits the market.
This is not normal. And it’s not luck. It’s the result of years of infrastructure building, early product-market fit, and a deep understanding of what AI and Web3 developers actually need.
The Beginning: Spheron’s Foundational Years
Spheron’s journey started long before AI went mainstream in crypto. Back when most DePIN (Decentralized Physical Infrastructure Network) projects were still theoretical, Spheron was building a decentralized infrastructure stack that would make deploying compute as easy as clicking a button.
Originally, the team focused on decentralizing web hosting and dev tools. This gave them deep experience in orchestration, developer experience, and cloud replacement. As the demand for AI infrastructure exploded in late 2023 and early 2024, Spheron had already built the pipes to scale compute across a distributed network. All they needed to do was plug in GPUs.
So they did.
In 2024, Spheron launched its decentralized GPU marketplace. It onboarded over 44,000 nodes, with more than 8,300 GPUs and 600,000+ CPUs from across 176 regions. These numbers weren’t inflated. They reflected real users, real hardware.
By the time 2025 rolled around, Spheron had grown its revenue to $10M ARR, all before launching its token. Most protocols hope to hit those numbers years after launch. Spheron did it as a bootstrapped infra network.
A Network Built for the Agent Economy
Spheron didn’t stop with GPU infrastructure. It realized early that autonomous agents would drive the next evolution of the internet. These AI-powered entities can reason, act, and learn on behalf of users and businesses. These agents need three things to thrive:
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Scalable compute
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Data to reason on
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Verifiable, permissionless environments to operate in
Spheron quietly built all three layers. It started with GPU compute, added storage and data partners, and developed platforms like KlippyAI (text-to-video), Skynet (no-code AI agents), **Supernoderz (**Node-as-a-service), and Aquanode (agent-native inference infra).
More importantly, Spheron didn’t gate any of this. Developers didn’t need to request access or apply for API keys. Everything is permissionless. If you have a model or agent to run, you could launch it on Spheron instantly and pay with fiat or crypto.
This open design led to a flywheel effect. Projects building agents or AI tools started integrating with Spheron because it was the only infra that could scale without gatekeeping or high costs. As more agents went live, demand for compute surged. And Spheron scaled supply through its Fizz Nodes.
This ecosystem model is now attracting over 100 projects across AI, data, storage, verification, and more—all building on top of Spheron ahead of the token launch.
Who’s Integrating with Spheron?
From foundational compute partners like IO.NET, NetMind, Aethir, and Lilypad to AI agent networks like Loky, Narralayer, and Sinthive, Spheron is becoming the base layer for autonomous systems.
The list of partners spans every layer of the AI and Web3 stack, from GPU providers to agent launchpads:
GPU Providers
Trusted Execution Environments (TEE)
Restaking Middleware
Agent Launchpads
Agent Networks
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0xLoky AI – Agent discovery and deployment
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Azen Protocol – Autonomous economic agents
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PaalMind – AI chatbot network
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SINT – Own, train, and evolve autonomous AI agents
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NexyAI – AI-native search and discovery
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Burnie – Fun, chaotic agent layer
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Narra Layer – Narrative-driven AI agents
Node-as-a-Service (NaaS)
Data
Storage
Verifiability:
The $SPON Flywheel
At the heart of it all is the $SPON token, which is scheduled to launch in Q3 2025. But unlike most tokens, $SPON isn’t launching into a vacuum. It already has multiple live integrations and a growing user base.
Here’s how $SPON drives the flywheel:
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Payments: Developers and users pay for compute, storage, and inference with $SPON.
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Staking: Node providers stake $SPON to join and earn higher-tier rewards.
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Governance: $SPON holders shape the network’s future—pricing, features, and policy.
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Buyback & Build: A portion of fees goes into buying back $SPON from the market, creating deflationary pressure.
As more agents run on Spheron, demand for compute increases. That drives more token utility, more staking, and more integrations. It’s a positive feedback loop that gets stronger over time.
Why It’s Happening Before the Token
The reason over 100 projects are integrating now, pre-TGE, is simple: Spheron works.
Unlike speculative projects that promise future utility, Spheron delivers real services today. AI teams can run models, store data, launch agents, and verify outputs, all in a decentralized and permissionless way.
Also, they’re early. By integrating now, these projects get access to compute resources before demand skyrockets. They can shape the roadmap, influence the protocol, and get exposure through the growing Spheron community.
And it’s not just smaller startups. Spheron is already working with established leaders like Gensyn, Kuzco, Gradient, and Sentient, proving that enterprises trust this stack.
Looking Forward
Spheron is not another cloud alternative. It is the decentralized backbone of AI and Web3.
As the world shifts toward autonomous agents, decentralized intelligence, and distributed infrastructure, the need for permissionless, verifiable compute will explode. Centralized clouds can’t serve that need—they’re too expensive, too closed, and too slow to evolve.
Spheron was born to solve this. It’s fast, decentralized, global, and already adopted. $SPON isn’t a bet on hype, it’s a claim on real usage, real revenue, and the future of AI.
Over 100 projects already see it. The question is—do you?
