Sandra Rivera, Director of Data Center and AI for Chiportal: Intel’s presence in the software field will be felt due to the increase in AI applications, thanks in part to the acquisition of Granolite

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Rivera made the remarks during a press conference held at the Bana Labs offices in Tel Aviv

Intel currently has 19,000 employees in the software field, but the company’s software sales only reach $ 100 million a year – a meager percentage of its revenue. Intel recently began the process of acquiring the Israeli company Granulate Cloud Solutions (it is estimated that Intel will pay $ 650 million for the transaction, Intel does not respond). The acquisition will help Intel advance the artificial intelligence strategy in the data centers, and already this year it expects a 50% increase in software sales.

Upon completion of the transaction, 120 Intel employees will move to the Data Center and AI Division headed by Sandra Rivera, who attended a press conference in Tel Aviv. This division is one of three divisions established at Intel during 2021 following the inauguration of Pat Glasinger CEO. In addition to a unified software division for all Intel products and the HPC division.

Asked by Chiportal how to buy a software company with the fact that Intel hardly works in the field, Rivera replied: “Intel’s presence in the software field, especially when it comes to artificial intelligence, will be felt much more. Today, most software developers develop core software “The use between the main processor, the graphics processor and the memory. Granolite’s software will help optimize Intel’s processors, graphics processors and AI accelerators.”

Intel will use insights gained from Granulite’s cloud resource optimization system to make improvements to its processor designs. This was revealed by Sandra Rivera (pictured above), director of the Datacenter and AI group at Intel, during a meeting with a technology journalist that took place yesterday (Monday) in Tel Aviv. “These lessons allow us to optimize our chips, such as processors or accelerators. We are currently conducting joint discussions on this issue. “

Granolite has developed artificial intelligence-based software that is designed to reduce cloud usage costs by optimizing the way customers use cloud resources. The company’s system learns the customer’s usage patterns of cloud resources, and makes changes to the way the customer uses those resources, to save costs such as computing resources, amounts of information transmitted in the cloud, identifying bottlenecks and the like.

“The scope of artificial intelligence applications in data centers is growing rapidly. Today it accounts for about 20% of all processing in the data center and by 2025 it will account for about a third of all processing (while in the long run – while about a decade artificial intelligence applications will account for 80% of all data center output. This requires doubling processing power, artificial intelligence”.

Only 5% of the data are analyzed

Regarding the total volume of artificial intelligence applications, Rivera explains that in 2021 the data centers processed artificial intelligence data in the amount of 80 zlotys, in 2023 this figure will already reach 180 zlotys. “Artificial intelligence will make it possible to extract much more value from the data. Today only 5% of the data is analyzed and becomes useful. Therefore, artificial intelligence will penetrate many areas and as mentioned will capture most of the output of the data centers.”

To achieve this we are required to simplify the developers’ approach to the field of artificial intelligence. We build an array of acceleration software for different processors and artificial intelligence solutions that will be compatible with all Intel products. We are starting to build a subscription-based model to deliver these tools for our silicon. “

There are about 25 million developers worldwide today, but few prefer Python or other top languages ​​than CPU-friendly languages, so we need to make it easier for them to work and allow them to write in whatever language they want and compile into languages ​​closer to the CPU. We estimate that its integration within Intel will accelerate its sales, because we can provide it with inside information about our processors, which currently run about 70% of the world’s AI generation operations. “

It adds that the graphics processors of Anvidia and other companies are mainly accelerating the artificial intelligence training phase, while the main part of the work will be in the launch phase, which will still require CPU processors and not just graphics processors. “

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