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NVIDIA launches Israel-1 supercomputer to meet soaring AI demand 

Published 2023-05-29, 10:53 a/m
© Reuters.  NVIDIA launches Israel-1 supercomputer to meet soaring AI demand 
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Proactive Investors - NVIDIA Corporation (NASDAQ:NVDA) said it is building a hyperscale generative AI supercomputer to be used as a blueprint and testbed for Spectrum-X, a networking platform designed to improve the performance and efficiency of Ethernet-based AI clouds.

Israel-1 will be deployed in the chipmaker’s Israeli data center and will be the country’s most powerful AI supercomputer aimed at meeting soaring customer demand for AI applications, according to a Reuters report.

NVIDIA noted in a statement that Spectrum-X is supercharged by the company’s acceleration software and software development kits (SDKs), allowing developers to build software-defined, cloud-native AI applications.

It explained that the delivery of end-to-end capabilities reduces the run-times of massive transformer-based generative AI models. This allows network engineers, AI data scientists and cloud service providers to improve results and make informed decisions faster, it added.

“Transformative technologies such as generative AI are forcing every enterprise to push the boundaries of data center performance in pursuit of competitive advantage,” NVIDIA senior vice president of networking Gilad Shainer said. “NVIDIA Spectrum-X is a new class of Ethernet networking that removes barriers for next-generation AI workloads that have the potential to transform entire industries.”

According to Reuters, Israel-1 is expected to deliver a performance of up to eight exaflops of AI computing. One exaflop has the ability to perform 1 quintillion - or 1,000,000,000,000,000,000 - calculations per second.

"Generative AI is going everywhere nowadays. You need to be able to run training on large datasets," Shainer told Reuters, adding that companies in Israel will have access to a supercomputer they don't have today.

"This system is a large scale system that actually will enable them to do training much quicker, to build frameworks and build solutions that can tackle more complex problems."

The cloud-based system will cost hundreds of millions of dollars and be partly operational by the end of 2023, per the Reuters report.

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