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Home»Track AI»Rakuten Group Expands Collaboration with Ampere Computing for Sustainable AI Computing
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Rakuten Group Expands Collaboration with Ampere Computing for Sustainable AI Computing

November 23, 2024002 Mins Read
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Rakuten Group announced that it will expand its collaboration with Ampere Computing LLC to reduce energy consumption for efficient AI computing. Rakuten will be the first company in Japan to deploy Ampere-based platforms on a large scale. Since 2023, Rakuten and Ampere have been conducting testing in Rakuten data centers using Ampere hardware. These trials resulted in a 36% energy savings per rack and an 11% reduction in space requirements per rack for Rakuten Cloud’s internal cloud container-based services.




AI for product strategies
AI for product strategies

For Rakuten, data centers account for a large portion of the company’s total power consumption. With the growing demand for servers driven by the growing use of AI, energy-efficient data centers will become even more crucial to companies’ sustainability efforts. In 2025, Rakuten plans to expand its use of Ampere-based platforms in its infrastructure to further improve the energy efficiency of its data centers.

With its mission to contribute to society by creating value through innovation and entrepreneurship, Rakuten will continue to work with its customers, partners, communities, employees and all its stakeholders to achieve a sustainable society.

Hironori Yoshida, General Manager and Vice Director of Cloud Platform Supervision Department, Rakuten Group

As the demand for computing increases with the adoption of AI, cloud operators must look into platforms and solutions to achieve more sustainable computing. We have been very encouraged by the results of our trials with Ampere and look forward to continuing our collaboration to achieve sustainable, energy-efficient data centers.

Sean Varley, Chief Evangelist, Vice President of Business Development, Ampere

Rakuten and Ampere collaborate to provide scalable*6 services for internal workloads to reduce power consumption and increase performance. As AI becomes a volume application, together we will seek to deliver compelling and cost-effective solutions.

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