Nvidia Chips Away at Intel, AMD Turf in Supercomputers 

The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
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Nvidia Chips Away at Intel, AMD Turf in Supercomputers 

The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)

Nvidia Corp on Monday said it has worked with the UK's University of Bristol to build a new supercomputer using a new Nvidia chip that would compete with Intel Corp and Advanced Micro Devices Inc.

Nvidia is the world's top maker of graphics processing units (GPUs), which are in high demand because they can be used to speed up artificial intelligence work. OpenAI's ChatGPT, for example, was created with thousands of Nvidia GPUs.

But Nvidia's GPU chips are typically paired with what is called a central processing unit (CPU), a market that has been dominated by Intel and AMD for decades. This year, Nvidia has started shipping its own competing CPU chip called Grace, which is based on technology from SoftBank Group Corp-owned Arm Ltd.

At a supercomputing conference in Germany on Monday, Nvidia said it has worked with British researchers and Hewlett Packard Enterprise Co to build a computer called Isambard 3, which is based entirely on its Grace CPU chips and has none of Nvidia's GPUs. The University of Bristol system will be used for climate science and drug discovery research, among other things.

"What's exciting is the whole thing is operating on 270 kilowatts of power. That's actually six times more performance and energy efficiency than the university's previous system, Isambard 2," Ian Buck, general manager and vice president of accelerated computing at Nvidia, said during a press briefing.



Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
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Paris Olympics Expected to Face 4 Billion Cyber Incidents

A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)
A general view of the Olympic rings on the Eiffel Tower a day before the opening ceremony of the Paris 2024 Olympics, in Paris, France June 25, 2024. (Reuters)

As the Paris 2024 Olympic Games approach, cybersecurity officials are bracing for over 4 billion cyber incidents. They are setting up a new centralized cybersecurity center for the Games, supported by advanced intelligence teams and artificial intelligence (AI) models.

Eric Greffier, the technical director for Paris 2024 at Cisco France, told Asharq Al-Awsat that the Tokyo 2020 Games saw around 450 million cyber incidents. He added that the number of incidents expected for Paris is at least ten times higher, requiring a more efficient response.

Greffier explained that a single cybersecurity center allows for better coordination and a faster response to incidents.

This approach has proven effective in other areas, such as banking and the NFL, where his company also handles cybersecurity, he added.

The Extended Detection and Response (XDR) system is central to the company’s security strategy.

Greffier described it as a “comprehensive dashboard” that gathers data from various sources, links events, and automates threat responses.

It offers a complete view of cybersecurity and helps manage threats proactively, he affirmed.

The system covers all aspects of the Olympic Games’ digital security, from network and cloud protection to application security and end-user safety.

In cybersecurity, AI is vital for managing large amounts of data and spotting potential threats. Greffier noted that with 4 billion expected incidents, filtering out irrelevant data is crucial.

The Olympic cybersecurity center uses AI and machine learning to automate threat responses, letting analysts focus on real issues, he explained.

One example is a network analytics tool that monitors traffic to find unusual patterns.

Greffier said that by creating models of normal behavior, the system can detect anomalies that might indicate a potential attack. While this might generate false alarms, it helps ensure that unusual activity is flagged for further review.