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Why Opti.Enai ?

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Problem: Carbon emissions

The release of carbon dioxide (CO2) and other greenhouse gases into the atmosphere, primarily through the burning of fossil fuels such as coal, oil, and natural gas. These emissions contribute to climate change and its associated impacts, including rising global temperatures, sea-level rise, extreme weather events, and ecosystem disruption. Higher carbon emissions indicate an increase in the amount of greenhouse gases being released into the atmosphere, exacerbating climate change and its consequences. Through my project, I wish to commit to reducing the carbon footprint and energy consumption of AI technologies, ensuring that operations are sustainable and contribute positively to environmental health.

The IEA suggest that data centers and data transmission networks are responsible for nearly 1% of energy-related greenhouse gas (GHG) emissions, which contribute to rising global temperatures and climate change. To put it into perspective, this is roughly the same amount of water used to irrigate 17 acres of turf lawn at once. The full range encompasses smaller data centers that may use around 10,000–15,000 gallons per day to hyperscale data centers that may consume millions of gallons daily. To cool down such data centers, many companies have started to pour water on them. 23% of Microsoft’s and 18% of Google’s freshwater withdrawals were from water stress areas. This means that to continue using water to cool data centres, companies need to enhance increase efficiency both in water consumption and of the data centers as well

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