The post io.net and ParallelAI Form Partnership to Improve Decentralized Compute for Generative AI appeared on BitcoinEthereumNews.com.

Key highlights: io.net’s decentralized GPU resources will power ParallelAI’s platform to scale AI model training. The partnership aims to optimize compute efficiency and reduce operational costs for AI developers. Both companies will collaborate on R&D to push technological boundaries in decentralized AI.  Expanding GPU compute for AI developers As stated in this announcement, GPU DePIN io.net (which also has its own IO token), has entered into a strategic partnership with ParallelAI, a leading provider of parallel processing optimization solutions. This collaboration will integrate io.net’s decentralized GPU compute into ParallelAI’s platform, allowing AI developers to access the compute power necessary for tasks such as training large language models (LLMs), running inference on trained models, and performing distributed deep learning. We’re thrilled to announce our partnership with @ionet By integrating https://t.co/NjHj2gI38V’s decentralized GPU infrastructure into the $PAI ecosystem, we’re taking scalable and efficient computing to the next level. About https://t.co/NjHj2gI38V ☁️https://t.co/NjHj2gI38V… pic.twitter.com/cc9Gpu7bgL — ParallelAI (@ParallelAIx) October 17, 2024 By partnering with io.net, ParallelAI will significantly expand the GPU resources it currently accesses through IO Cloud, including A100s, to meet the increasing demands of AI workloads. This integration will provide seamless scalability for ParallelAI’s platform, enabling AI developers to manage resource-intensive tasks more efficiently.  Driving innovation through research and cost-efficiency In addition to integrating GPU resources, io.net and ParallelAI will collaborate on research and development to advance the technical frontiers of decentralized AI. Their goal is to set new benchmarks for performance and efficiency in cloud computing, leveraging their combined expertise. ParallelAI’s platform accelerates AI innovation by allowing developers to write high-level code while handling the underlying parallel computing across multiple GPUs and CPUs. This capability can reduce computational time by up to 20 times and significantly lower costs. By tapping into io.net’s decentralized GPU clusters, ParallelAI can ensure consistent access to compute…

---

Filed under: News - @ October 18, 2024 8:26 am