In an exciting new collaboration, io.net, a decentralized GPU computing network, has teamed up with ParallelAI, a renowned leader in optimizing parallel processing for AI developers. This partnership will see ParallelAI integrating io.net’s decentralized GPU clusters into its platform, providing a significant boost in computing power for handling large-scale AI tasks.
Currently, ParallelAI leverages GPU resources through 10 Cloud, utilizing A100 GPUs for demanding workloads like large language model (LLM) training, inference, and distributed deep learning. By breaking free from traditional infrastructure limitations, ParallelAI can now scale its services efficiently and cater to the evolving needs of AI developers. The primary goal of this partnership is to expand the availability of GPU computing resources for AI developers and researchers.
Moreover, io.net and ParallelAI are set to embark on collaborative research and development initiatives. Their joint efforts will focus on pushing the boundaries of decentralized cloud computing on GPUs, aiming to pioneer cutting-edge technologies that could potentially redefine performance benchmarks in the AI industry.
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