Ozak AI x Spheron
Ozak AI is all about speed - our Prediction Agents go through live data feeds and pull out signals ready for trading in around 30ms. Spheron handles the other side: they turn unused computers and hardware from people all over into a big network that offers cheap computing power for AI work.
Today, announcing our partnership: Ozak AI x Spheron.
The plan is to look into how Ozak AI's agents and Spheron's worldwide compute setup can team up to make AI processes quicker, share tools for developers, and start projects across our communities.
Ozak AI x Spheron: Who Is Spheron?
Spheron Network is putting together the biggest data center run by a community to give people easy access to cheap and flexible computing power. They gather up unused GPUs from personal computers, data centers, and mining setups to make a spread-out marketplace for GPUs that's built for AI apps and developers. Their aim is to fix the problems of high prices and limited supply in the huge GPU market, which is expected to hit $477 billion by 2030.
They have a fast-growing network with more than 200,000 users and developers leveraging their compute, over 8,400 GPUs, 602,000 CPUs, and 36,000 connected Macs powering diverse workloads. 44,000 of their nodes are live across 176+ regions.
This shows how you can use idle hardware from around the world. Their setup uses things like Slark Nodes, Match Makers, and a Dynamic Tiering System to smartly connect people who need computing power with those who have extra, while keeping costs low and performance good.
They provide GPU access that's up to 4 times cheaper than regular options and plan to cut rental costs in half by making smart trades in compute resources.
Spheron is a push to spread out computing power and help build the future of AI for everyone.
What Spheron Brings to the Table
- Community-powered network: They pull together idle hardware from all over to create a big, decentralized pool of computing resources.
- Cheaper access: Up to 4 times less expensive than traditional setups, with plans to make it even more affordable.
- Key stats: Over 8,400 GPUs, 602,000 CPUs, 36,000 Macs, and 200,000+ members making it all happen.
- Smart matching: Tools that connect supply and demand to get the best cost and speed for AI work.
- Focus on AI: Built for developers and apps that need strong, on-demand compute without borders or high barriers.
Where Ozak AI and Spheron Could Intersect
Put together Ozak AI's fast Prediction Agents with Spheron's cheap and spread-out compute network, and some interesting ideas come up for how they might work together:
Faster agent runs on demand: An Ozak AI agent could pull live data and run its predictions right on Spheron's GPU grid, getting quick results without waiting for expensive hardware, all at a lower cost.
Shared tools for builders: Developers could use combined setups where Ozak AI's agents plug into Spheron's network to create easy-to-use kits for testing AI ideas, like workflows that handle data and compute in one go.
Community projects across groups: We could team up on open initiatives, like hackathons or shared code, where people from both communities build and test new ways to make AI tasks quicker and more affordable.
Cheaper training and testing: Use Spheron's idle GPUs to train or backtest Ozak AI agents on big datasets, cutting down costs and time so more people can experiment without big budgets.
Borderless AI setups: Ozak AI signals could trigger actions on Spheron's global network, letting agents scale up compute as needed from anywhere, for things like real-time trading or monitoring without location limits.
Closing Thoughts
Speed is key for predictions, and having cheap, easy-to-get compute power makes it possible for more people to build and run AI tools. By teaming up Ozak AI's Prediction Agents with Spheron's network of affordable hardware, we're looking at ways to make AI work better and more open for everyone involved. We'll test things out in the open, pay attention to what works, and put out the good stuff as we go. Thanks for joining us in making AI more accessible and powerful.
