NeuReality, an AI firm supported by Series A venture financing, is transforming AI inference in data centers. Its AI-centric system design, which is based on silicon and software and was founded by seasoned engineers, offers 10x performance or 90% cost savings, making AI inferencing quicker, less expensive, and more energy-efficient.NeuReality, an AI inference and data center infrastructure business situated in Tel Aviv, Israel.
With participation from Cardumen Capital, Glory Ventures, Alumni Venture Group, and Cleveland Avenue, the round led by the European Innovation Council (EIC) Fund, Varana Capital, XT Hi-Tech, and OurCrowd increased the total amount to $70M.
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In order to move more quickly from the early deployment phase to expansion in new markets, geographies, and generative AI, the business plans to use the funds to expedite the implementation of its NR1TM AI Inference Solution to more customers and users.
$20 million was raised by NeuReality, an AI inference and data center infrastructure business situated in Tel Aviv, Israel.
NeuReality is an AI technology innovation firm co-founded by Yossi Kasus, Moshe Tanach, and Tzvika Shmueli. It develops hardware, software, and purpose-built AI Inference system architecture for use in present and future AI applications.
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With its comprehensive, ready-to-use NR1 AI Inference solution, which offers customers a choice of open-source software and hardware providers as well as infinite deep learning models, its technology completely changes the way businesses handle everyday AI inferencing.
All governments and organizations, regardless of size, can obtain NeuReality AI solutions through a network of industry partners for delivery and implementation.
About NeuReality
NeuReality, an AI firm supported by Series A venture financing, is transforming AI inference in data centers. Its AI-centric system design, which is based on silicon and software and was founded by seasoned engineers, offers 10x performance or 90% cost savings, making AI inferencing quicker, less expensive, and more energy-efficient.
