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Intel and Lenovo Announces Multi-Year Collaboration to Accelerate Convergence of High-Performance Computing

Our goal is to further accelerate innovation into the 'Exascale' era, aggressively waterfalling these solutions to scientists

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Lenovo, the leading global system provider of "TOP500" supercomputers, would optimize Intel's full portfolio of HPC and AI hardware and software solutions to serve as the foundation for its market strategy. Pixabay

 Intel and Lenovo on Monday announced a multi-year collaboration to accelerate convergence of high-performance computing (HPC) and Artificial Intelligence (AI) to solve world’s most challenging problems.

Lenovo, the leading global system provider of “TOP500” supercomputers, would optimize Intel’s full portfolio of HPC and AI hardware and software solutions to serve as the foundation for its market strategy.

“Our goal is to further accelerate innovation into the ‘Exascale’ era, aggressively waterfalling these solutions to scientists and businesses of all sizes to speed discovery and outcomes,” Kirk Skaugen, executive vice president of Lenovo and president of Lenovo Data Center Group, said in a statement.

Lenovo’s Neptune liquid cooling, in combination with the 2nd Gen Intel Xeon Scalable platform, is already helping customers unlock new data insights.

Intel, Lenovo, Computing
Intel and Lenovo on Monday announced a multi-year collaboration to accelerate convergence of high-performance computing (HPC) and Artificial Intelligence (AI). Pixabay

Nearly 173 of the world’s “TOP500” fastest supercomputers, spanning 19 markets, run on Lenovo servers.

Additionally, 17 of the world’s top 25 research universities rely on Lenovo infrastructure.

“Intel is laser-focused on helping our customers spur innovation and discovery through the convergence of AI with HPC,” said Navin Shenoy, Intel executive vice president and general manager of the Data Center Group.

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The collaboration plans to focus on three areas: systems and solutions, software optimization for HPC and AI convergence and ecosystem enablement. (IANS)

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Intel Trains 1.5 Lakh Students, Developers to Boost AI in India

The event also serves as a showcase of innovation being driven in collaboration with industry leaders

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Intel
This Jan. 1, 2018, file photo shows an Intel logo on the box containing an HP desktop computer on sale at a Costco in Pittsburgh. VOA

Chip-making giant Intel on Wednesday said it has trained more than 150,000 developers, students and professors across 150 organisations in India over the past two years to boost the Artificial Intelligence (AI) ecosystem in the country.

“At Intel, we’re encouraged by the impact that AI is having, driven by our rich community of developers,” Prakash Mallya, Vice President and Managing Director, Sales and Marketing Group, Intel India.

“In addition to training 150,000 developers, students and professors, we have also trained 50 per cent of our employees across functions in India on the basic concepts of AI with the goal to have the majority of our employees trained by the end of the year,” Mallya said.

Intel hosted its premier global AI developer event, the Intel AI DevCamp in Bengaluru on Wednesday.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

“AI is swiftly becoming a reality for enterprises and has found applications across industries. With talent becoming a key driver of competitive advantage, India has an opportunity to tap into its existing pool of mathematicians, statisticians and programmers and nurture this talent to leverage their skills for analytics and AI,” Mallya said.

The Intel AI DevCamp event helps put AI tools into the hands of scientists, developers, analysts, and engineers.

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The event also serves as a showcase of innovation being driven in collaboration with industry leaders.

This year, Wipro demonstrated Intel AI-powered use cases such as medical image segmentation and diagnosis, the detection of anomalies in pipelines, and detection of surface cracks in high-rise buildings, bridges and complex structures. (IANS)