io.net, a decentralized distributed compute network, has announced a new strategic partnership with ParallelAI, a leader in parallel processing optimization for artificial intelligence (AI) developers, based on the updates shared with Finbold on Friday, October 18.
The collaboration will see io.net’s decentralized graphical processing unit (GPU) compute clusters integrated into ParallelAI’s platform to bring AI developers the computational power they need.
Decentralized GPU compute in AI
By partnering with io.net, ParallelAI will significantly boost its GPU capacity, currently powered by A100s from IO Cloud.
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The update will allow ParallelAI to scale up and support tasks like large language model (LLM) training, inference processing, and distributed deep learning, all of which are crucial for the development of advanced AI technologies.
By combining their expertise, io.net and ParallelAI likewise aim to advance GPU cloud computing and set new industry standards.
ParallelAI is known for streamlining AI innovation by enabling developers to write high-level code while managing parallel computing across multiple GPUs and central processing units (CPUs).
This process can reduce computation time by up to 20x, dramatically cutting costs for developers.
Accelerating AI development
With decentralized GPU clusters being available on demand via IO Cloud, ParallelAI will be able to address bottleneck issues and other disruptions.
In turn, ParallelAI clients will have consistent access to the compute power necessary to carry out intensive AI tasks.
IO Cloud solutions can help developers save up to 90%, making it an attractive solution for AI applications.
The partnership with io.net thus not only strengthens ParallelAI’s position in the market but also reduces the need for heavy investment in hardware and infrastructure.
Together, io.net and ParallelAI will innovate within the decentralized AI space, developing potentially transformative technologies and AI solutions.
