Decentralized GPU network io.net announces a strategic partnership with Allora,
a self-improving decentralized AI network. Io.net is a leading platform enabling ML engineers to deploy scalable GPU clusters rapidly for AI model training and inference. By leveraging Allora’s decentralized AI network, io.net enhances the computational efficiency and model accuracy in their AI/ML development processes. This partnership represents a significant step forward in providing secure, efficient, and scalable AI model development and deployment solutions.
Io.net’s track record includes supporting the training, fine-tuning, and inference of over 1,000 ML models, resulting in up to 90% cost reduction for our users compared to traditional cloud services. With nearly 200,000 GPUs providing compute power to our network, io.net is at the forefront of democratizing access to AI development tools and computational resources.
“This partnership represents a pivotal moment for us,” says Ahmad Shadid, CEO of Io.net. “Blending the best of decentralized compute and AI technologies to unlock new possibilities for developers and enterprises alike.”
The partnership between Allora and io.net is built on a strong foundation of complementary technologies and shared vision. Thanks to Allora, io.net can now enhance the security and privacy of AI/ML computations while maintaining high efficiency, tapping into a self-improving network of ML models for optimized outcomes. The collaboration will enable secure, decentralized training of AI/ML models across various sectors, with an emphasis on privacy-preserving data analysis and federated learning.
In this way, Allora provides the inferences and self-improvement mechanisms, while io.net provides the computational resources and infrastructure upon which developers can build.
On Allora, workers not only provide their inferences to the network; they also forecast the accuracy of other participants’ inferences within their specific topic (or sub-network). This dual-layer contribution is part of what makes the network self-improving.
By integrating Allora’s self-improving mechanism, models using io.net’s compute can benefit from the most effective inferences, ensuring they always outperform individual models in the network.
This self-improving mechanism creates AI models that can adapt to various contexts and continuously improve their performance. As a result, users of applications built on io.net can expect more accurate and reliable results from the AI models they develop and deploy, whether they’re working on financial analysis, predictive modeling, or any other AI-driven application.
“The growing demand for computational needs for AI in the crypto space highlights the importance of our partnership,” says Nick Emmons, CEO of the Upshot team that created Allora. “Combining io.net’s decentralized compute capabilities with Allora’s self-improving network broadens both access and capabilities for AI developers worldwide.”
io.net is a decentralized computing network that provides machine learning engineers with scalable distributed clusters at a fraction of the cost of centralized services. With a focus on user satisfaction, ease of use, and fortified security, io.net is igniting a DePIN (Decentralized Physical Infrastructure Network) revolution to meet the growing AI compute requirements in a cost-effective manner.
Allora is a self-improving decentralized AI network. Allora enables applications to leverage smarter, more secure AI through a self-improving network of ML models. By combining innovations in crowdsourced intelligence, federated learning, and zkML, Allora unlocks a vast new design space of applications at the intersection of crypto and AI.