Microsoft Offers Cloud Customers AMD Alternative to Nvidia AI Processors 

A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, March 25, 2024. (Reuters)
A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, March 25, 2024. (Reuters)
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Microsoft Offers Cloud Customers AMD Alternative to Nvidia AI Processors 

A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, March 25, 2024. (Reuters)
A view shows a Microsoft logo at Microsoft offices in Issy-les-Moulineaux near Paris, France, March 25, 2024. (Reuters)

Microsoft said on Thursday it plans to offer its cloud computing customers a platform of AMD artificial intelligence chips that will compete with components made by Nvidia, with details to be given at its Build developer conference next week.

It will also launch a preview of new Cobalt 100 custom processors at the conference.

Microsoft's clusters of Advanced Micro Devices' flagship MI300X AI chips will be sold through its Azure cloud computing service. They will give its customers an alternative to Nvidia's H100 family of powerful graphics processing units (GPUs) which dominate the data center chip market for AI but can be hard to obtain due to high demand.

To build AI models or run applications, companies typically must string together - or cluster - multiple GPUs because the data and computation will not fit on a single processor.

AMD, which expects $4 billion in AI chip revenue this year, has said the chips are powerful enough to train and run large AI models.

As well as Nvidia's top-shelf AI chips, Microsoft's cloud computing unit sells access to its own in-house AI chips called Maia.

Separately, the Cobalt 100 processors Microsoft plans to preview next week offer 40% better performance over other processors based on Arm Holdings' technology, the company said. Snowflake and others have begun to use them.

The Cobalt chips, which were announced in November, are being tested to power Teams, Microsoft's messaging tool for businesses, and positioned to compete with the in-house Graviton CPUs made by Amazon.com.



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.