The future of AI is no longer limited to labs, centralized datasets, or corporate control. It’s becoming open, competitive, and owned by the people. Today, we’re proud to announce our partnership with Fraction AI, a decentralized auto-training platform where users build, train, and evolve their own AI agents, not in isolation, but through competition.
At Spheron, we’ve always believed compute should be accessible, decentralized, and designed for permissionless innovation. That’s why we’re supporting Fraction AI with the compute infrastructure it needs to scale its revolutionary vision.
What’s Broken in AI Today
AI has made incredible progress over the last decade, but the way it’s developed hasn’t changed much. Most training happens behind closed doors, inside huge data centers, controlled by a few companies. These models are trained on static datasets, labeled by armies of humans, and fine-tuned in environments that don’t reflect real-world complexity.
Worse, users have little to no ownership over the AI systems they interact with. Models are centralized, internal teams control updates, and innovation is bottlenecked by access to compute. This creates a system where AI gets better, but not faster, not cheaper, and definitely not more open.
Fraction AI is Changing the Game
Fraction AI is building a decentralized, no-code platform for training AI agents. Instead of relying on static data, these agents evolve through competition, collaboration, and adaptation in decentralized environments.
Each user owns their agent, defines how it behaves, and watches it grow over time. Whether you’re building a trading bot, a customer support agent, or an in-game AI companion, you can now train it directly by testing it against others.
This isn’t AI-as-a-service. It’s AI as a competitive sport, and everyone gets to play.
By turning fine-tuning into an open game, Fraction AI unlocks faster improvement, better specialization, and deeper personalization. Every win teaches the agent something new. Every loss is an opportunity to adapt. And over time, each agent becomes a unique reflection of its owner’s strategy, use case, and goals.
Why Spheron Is the Right Fit
Training AI models at scale requires serious compute power, and traditional cloud platforms are expensive, centralized, and built for enterprises, not communities.
That’s where Spheron comes in.
Spheron is building the world’s largest community-powered compute network. We aggregate underutilized GPUs from data centers, consumer devices, and mining rigs, and turn them into a permissionless, affordable, and scalable cloud for AI, Web3, and DePIN applications.
For projects like Fraction AI, this means:
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Access to decentralized GPU infrastructure at up to 4x lower cost
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Permissionless scaling for training thousands of agents in parallel
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A reliable, censorship-resistant backend that keeps evolving agents online and learning
We’re not just providing infrastructure. We’re aligning with the vision: a future where compute is borderless, intelligence is user-owned, and progress comes from open competition.
Inside the Partnership
Through this partnership, Spheron will power Fraction AI’s decentralized training layer with dedicated GPU and compute infrastructure. As thousands of AI agents train and compete, Spheron ensures the backend remains fast, scalable, and cost-effective.
Fraction AI users will benefit from:
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Efficient auto-training cycles supported by Spheron’s global GPU fleet
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Seamless scaling as more agents enter competitive environments
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Cost-optimized compute access without relying on centralized clouds
We’re also exploring deeper integrations where agent training incentives can align with Spheron’s node uptime, reward mechanisms, and ecosystem tools. The goal is to turn the training process into something not just smart, but sustainable and scalable.
What’s Next
This partnership marks a major step forward in building the future of decentralized AI. With Fraction AI focused on competitive, user-driven intelligence, and Spheron providing the decentralized compute stack to support it, we’re laying the foundation for a smarter, more open web.
In the coming months, we’ll be working closely with the Fraction AI team to help scale training environments, onboard new agent creators, and connect compute demand with supply in real time.
We believe the next generation of AI won’t come from behind closed doors. It will come from the crowd — from users who train, own, and evolve their own agents. And to power that vision, compute must be as open and decentralized as the ideas it supports.
At Spheron, we’re building that compute layer.
We’re proud to support Fraction AI in this mission. The future is not just intelligent. It’s owned.
