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Geo-distributed workloads - chasing the sun to reduce our data center energy use

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Контент предоставлен Hewlett Packard Enterprise. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Hewlett Packard Enterprise или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

In this episode, we are looking at improving the energy efficiency and sustainability of our computer workloads by shifting them around the world in real-time - something called ‘geo-distribution’.

The idea involves looking at real time global energy production- ideally from renewable sources - and a load of other factors including weather, water tables and more. By comparing these factors as well as compute availability and the lag between data source and data center, you can find the most sustainable locations to perform a task. Ideally, shifting the workloads so quickly that the user doesn’t even know it’s happening.

To tell us more we’re joined this week by Cullen Bash, Vice President, Research & Development at HPE, who leads the Systems Architecture Lab at Hewlett Packard Labs.

This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.

Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

About this week's guest: https://www.linkedin.com/in/cullen-bash/

Sources and statistics cited in this episode:
IEA report on data centre energy usage: https://iea.blob.core.windows.net/assets/6b2fd954-2017-408e-bf08-952fdd62118a/Electricity2024-Analysisandforecastto2026.pdf
ING research into data centre water use: https://think.ing.com/articles/data-centres-growth-in-water-consumption-needs-more-attention/
Brain-on-chip robot: https://h.xinhuaxmt.com/vh512/share/12076644?d=134d8f3&channel=weixin (in Mandarin)
English language story: https://www.sciencefocus.com/news/this-robot-is-controlled-by-a-human-brain-in-a-jar

  continue reading

83 эпизодов

Artwork
iconПоделиться
 
Manage episode 429467673 series 2990464
Контент предоставлен Hewlett Packard Enterprise. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Hewlett Packard Enterprise или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.

In this episode, we are looking at improving the energy efficiency and sustainability of our computer workloads by shifting them around the world in real-time - something called ‘geo-distribution’.

The idea involves looking at real time global energy production- ideally from renewable sources - and a load of other factors including weather, water tables and more. By comparing these factors as well as compute availability and the lag between data source and data center, you can find the most sustainable locations to perform a task. Ideally, shifting the workloads so quickly that the user doesn’t even know it’s happening.

To tell us more we’re joined this week by Cullen Bash, Vice President, Research & Development at HPE, who leads the Systems Architecture Lab at Hewlett Packard Labs.

This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it.

Do you have a question for the expert? Ask it here using this Google form: https://forms.gle/8vzFNnPa94awARHMA

About this week's guest: https://www.linkedin.com/in/cullen-bash/

Sources and statistics cited in this episode:
IEA report on data centre energy usage: https://iea.blob.core.windows.net/assets/6b2fd954-2017-408e-bf08-952fdd62118a/Electricity2024-Analysisandforecastto2026.pdf
ING research into data centre water use: https://think.ing.com/articles/data-centres-growth-in-water-consumption-needs-more-attention/
Brain-on-chip robot: https://h.xinhuaxmt.com/vh512/share/12076644?d=134d8f3&channel=weixin (in Mandarin)
English language story: https://www.sciencefocus.com/news/this-robot-is-controlled-by-a-human-brain-in-a-jar

  continue reading

83 эпизодов

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