The decentralized GPU network Io.net collaborates with Allora to advance secure artificial intelligence development.
In Brief
In its collaboration with Allora, Io.net seeks to optimize its computational efficiency and ensure high accuracy across its AI and machine learning projects.
Decentralized GPU network io.net Io.net has announced it is teaming up with a self-optimizing decentralized AI network. Allora This collaboration aims to enhance computational efficiency and model accuracy for processes in the realm of AI and machine learning.
Io.net enables the creation of scalable clusters aimed at machine learning engineers who are focused on training and inference of AI models. GPU By leveraging Allora's capabilities, Io.net is set to enhance the security and privacy of AI and ML processes while maintaining exceptional operational efficiency. This partnership stands to support the decentralized training of AI models across various industries, putting a premium on privacy-preserving data analysis and federated learning methods.
Through this collaboration, Allora will provide inferences and self-improvement strategies, while Io.net will supply the necessary computational resources and infrastructure for developers to build upon. Contributors to Allora will share their insights with the network and help predict the accuracy of others' contributions on specific subjects or within certain sub-networks. ML models Furthermore, integrating Allora’s unique self-improvement capabilities allows models operating on Io.net’s resources to utilize efficient inferences, ensuring they outperform standalone models within the network.
This self-optimizing approach promotes models that can adapt to various situations, continuously enhancing their capabilities. As a result, users of applications constructed on Io.net can expect increased reliability and precision from the AI models they utilize, whether they're conducting financial analyses, engaging in predictive modeling, or exploring any AI-based scenario.
Ahmad Shadid, the CEO of Io.net, expressed, \"This collaboration marks an essential turning point for our organization. We're merging the finest in decentralized computing with cutting-edge AI technology to open up new avenues for developers and businesses alike.”
Io.net has successfully secured $30 million in Series A funding, aimed at bolstering its AI infrastructure. AI models As a decentralized computing network, Io.net provides machine learning engineers with distributed clusters that are not only scalable but also significantly less expensive than traditional centralized solutions.
The network has been instrumental in training, refining, and facilitating the inference processes for more than 1,000 machine learning models, achieving cost savings for users of up to 90%. With more than 200,000 GPUs contributing their computational power, Io.net leads the way in making AI development tools and computational resources accessible to a broader audience.
Recently, Io.net raised $30 million from various investors, including Hack VC, Foresight Ventures, SevenX, and Multicoin Capital. These funds will be directed toward the continued evolution of a decentralized GPU framework to tackle the growing demand for AI computing resources.
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