Posted: Apr 2, 2024 11:00 AM Updated: Apr 2, 2024 6:22 AM
Correction and fact check date: April 2, 2024, 11:00 AM
briefly
Io.net has partnered with Allora to improve computational efficiency and model accuracy in AI and ML development processes.
Decentralized GPU network io.net announced a partnership with Allora, a self-improving decentralized AI network, to improve computational efficiency and model accuracy in AI and machine learning (ML) development processes.
Io.net facilitates the deployment of scalable GPU clusters for ML engineers working on AI model training and inference.
The capabilities provided by Allora enable io.net to enhance the security and privacy of AI and ML computations while maintaining high efficiency standards and leveraging a self-improving network of ML models to optimize results. Additionally, this collaboration will promote secure, decentralized training of AI and ML models across diverse sectors and prioritize privacy-preserving data analytics and federated learning technologies.
In this way, Allora contributes inference and self-improving mechanisms, while io.net provides computing resources and infrastructure that developers can leverage and build upon. With Allora, workers provide inferences to the network and predict the accuracy of other participants’ inferences within a given topic or subnetwork.
Additionally, by incorporating Allora’s self-improvement mechanisms, models leveraging io.net’s computational resources can leverage efficient inference, ensuring superior performance compared to individual models within the network.
These self-improvement mechanisms promote the development of AI models that can adapt to different situations and continuously improve their performance. As a result, users of applications built on io.net can enjoy increased accuracy and confidence in the results generated from the AI models they create and deploy, whether they are financial analysis, predictive modeling, or other AI-based applications. script.
“This partnership marks a very important moment for us,” said Ahmad Shadid, CEO of Io.net. “Combining the best of distributed computing and AI technologies opens up new possibilities for developers and enterprises alike,” he added.
Io.net secures $30 million in Series A funding to strengthen AI infrastructure
Io.net operates as a distributed computing network, providing ML engineers with scalable, distributed clusters at a significantly lower cost than centralized services.
The network supports the training, fine-tuning, and inference processes of over 1,000 ML models, resulting in significant cost savings of up to 90% for users. With more than 200,000 GPUs providing computing power to the network, Io.net is leading the way in democratizing access to AI development tools and computing resources.
Recently, io.net closed its Series A funding round, raising $30 million from Hack VC, Foresight Ventures, SevenX, and Multicoin Capital, among others. These funds will be used to further develop decentralized GPU networks to address AI computing resource shortages.
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As MPost’s resident journalist, Alisa specializes in the broad areas of cryptocurrencies, zero-knowledge proofs, investing, and Web3. With her keen eye for emerging trends and technologies, she provides comprehensive coverage to inform and engage readers about the ever-evolving digital financial landscape.
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alice davidson
As MPost’s resident journalist, Alisa specializes in the broad areas of cryptocurrencies, zero-knowledge proofs, investing, and Web3. With her keen eye for emerging trends and technologies, she provides comprehensive coverage to inform and engage readers about the ever-evolving digital financial landscape.
more articles