Engine

Apple

<a href="http://io.net" target="_blank" rel="noopener noreferrer nofollow">io.net</a> and WOMBO have established a strategic alliance that marks a significant step forward for AI computing capabilities. With this partnership, io.net—a leader in decentralized, geo-distributed computing networks—and WOMBO—a generative AI firm well-known for its user-friendly consumer apps—aims&nbsp;to use Apple silicon chip clusters to power machine learning (ML)&nbsp;models.
Cloud computing is often one of the biggest operational expenses for AI companies such as WOMBO. The combo of intense competition and limited hardware supply results in higher prices and longer wait times for firms, especially startups, to access compute. io.net solves this problem by aggregating geographically distributed and decentralized GPUs, which enables firms&nbsp;to deploy cluster on demand for a fraction of the cost.
The vast scale and potential of io.net’s decentralized physical infrastructure network (DePIN) are demonstrated by the ability of machine learning engineers to quickly and affordably deploy both Ray and Kubernetes clusters with thousands of GPUs thanks to the network’s over 100,000 nodes and a variety of hardware options, including lower-cost cards like 4090 or A6000. With an astounding 200 million downloads across all of its AI apps, WOMBO may use io.net to further accelerate its growth and save expenses.
WOMBO CEO Ben-Zion Benkhin stated:
<blockquote class="wp-block-quote">
 “We are excited about partnering with io.net to help bring unused computing power and put it to use in groundbreaking AI applications – together, our teams have the potential to put a serious dent in the GPU supply shortage.”
</blockquote>
<h3 class="wp-block-heading" id="h-leveraging-silicon-chips-from-apple">Leveraging Silicon Chips from Apple</h3>
The foundation of this partnership is a cutting-edge initiative that uses io.net to enable the amazing potential of Apple silicon chip clusters, which in turn powers WOMBO’s complex machine learning models. With the use of io.net’s mega-clustering capabilities and the Neural Engine capabilities found in Apple chips, this endeavor seeks to use hundreds of millions of consumer devices for AI workloads.
WOMBO is an example of a consumer AI application at scale, with over 74 million users in over 180 countries at its height. With an infrastructure worth over $2 billion, io.net’s network has surpassed 520K GPUs and CPUs in only five months, and&nbsp;are ready to assist WOMBO in scaling their computational infrastructure.

io.net and WOMBO Forge Alliance, Harnessing Apple Silicon for AI Advancements

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