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WOMBO Forms Partnership With Io.net to Augment Its AI Capabilities Using Decentralized Apple Silicon Chips

In Brief

In a strategic move, WOMBO has joined forces with DePIN io.net to refine its machine learning algorithms and enhance its ability to serve a growing user base.

WOMBO Collaborates With Io.net to Strengthen Its AI Functions With Decentralized Apple Silicon Chips

AI-powered avatar application Wombo the decentralized physical infrastructure network has made its collaboration known io.net aiming to improve its machine learning processes and adapt to a larger volume of users.

"We're excited to partner with io.net to utilize underexploited computing resources for innovative AI endeavors,\" expressed Ben-Zion Benkhin, CEO of Wombo. \"Our collaborative efforts could significantly ease the current GPU shortage,\" he remarked.

Through this partnership, Wombo plans to harness clusters of Apple silicon chips managed by io.net, aiming to push forward its machine learning initiatives. Additionally, the project aims to leverage the neural engine features along with io.net's vast clustering capabilities for managing AI workloads across numerous consumer devices. Apple’s chips This collaboration will enable Wombo to tap into the company’s hardware capabilities, facilitating its expansion while also lowering operational costs.

Furthermore, collaborating with io.net Wombo is a Canadian startup renowned for its AI-driven art app, Dream by Wombo, which earned the title of Google’s \"Best App\" in the U.S. in 2022. The app has been downloaded over 47 million times and generated $4.3 million in gross revenue within the past year. Recently, Wombo also launched a new AI avatar app called Wombo Me, which allows users to turn a single selfie into multiple lifelike avatars.

Io.net is transforming GPU deployment by providing clusters on-demand that are both cost-efficient and easily accessible.

This system is decentralized and spans various geographical locations, permitting businesses to launch clusters tailor-made to their needs while keeping costs down. Thanks to a network consisting of over 100,000 nodes and a selection of hardware options ranging from high-performance NVIDIA A100 and H400 models to budget-friendly alternatives like the 4090 or A6000 cards, io.net allows machine learning experts to swiftly and economically deploy Ray and Kubernetes clusters equipped with thousands of GPUs.

io.net brings together \"At its peak, Wombo attracted over 74 million users in more than 180 countries, exemplifying a large-scale consumer AI application,\" stated an io.net spokesperson in a written comment. \"Our network has surpassed 520K GPUs and CPUs in only five months, and with an infrastructure valuation exceeding $2 billion, we are well-equipped to support WOMBO in scaling their computational needs,\" he added. GPU Please remember that the information on this page should not be seen as legal, tax, investment, financial, or any kind of professional advice. Always invest only what you are willing to lose and seek independent guidance if you're uncertain. For more details, we recommend checking out the terms and conditions along with the support resources provided by the issuer or advertiser. MetaversePost aims for precise and balanced reporting, but please be aware that market conditions may change without prior notice.

Alisa, a passionate journalist at Cryptocurrencylistings, focuses on cryptocurrency, zero-knowledge proofs, investments, and the wide expanse of Web3. With a sharp eye for budding trends and innovations, she offers in-depth analysis to keep readers informed and engaged in the fast-changing world of digital finance.

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