![]() This need for more power is the result of many factors, such as the requirement to process increasingly complex algorithms and calculations, increased data storage and access and deployment of more powerful Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs), which require more energy. Also, training a large language model is resource intensive, taking as much as 1,287MWh of power and generating more than 500 tons of carbon. Every time we use generative AI applications such as ChatGPT or Bard, it can draw ~50-100 times as much energy as a standard search query on Google. Again, given the variance in the scale of data centers, it’s hard to give exact numbers, but the consensus seems to be that a typical data center uses about 3-5 million gallons of water per day, often drawn from local sources that also serve the neighboring communities.įactor in greenhouse gas emissions, heat waste and the disposal of aged equipment and it’s hardly surprising that public opinion views the data center as a facility non grata.Īnother emerging contributor to data centers’ carbon footprint is the increased demand we’re placing on them – not least from the growing popularity of artificial intelligence (AI).ĪI is significantly more computationally intensive than more ‘traditional’ applications. ![]() ‘Thirst’ is also a hot topic, with data centers requiring gargantuan levels of water to keep themselves cool. It’s important that we also take account of the source of that energy – is it dirty (fossil-fueled) or clean (from renewable sources)? More on that later. Whilst that doesn’t sound too dramatic, just think of the millions of other things powered by the remaining 99%. I’ve written on this topic before, and it’s safe to say that data centers don’t necessarily have the best press when it comes to the climate crisis, with both their hunger and thirst warranting – and receiving – a great deal of attention.įor ‘hunger’ read ‘energy consumption’, and whilst it’s near impossible to quantify with any degree of certainty, experts estimate that data centers consume around 1% of all electricity produced globally. However, I’ve noticed lately that people want to talk about data centers, and more than that, they have an opinion on them too.Ī lot of the conversations revolve around the environmental impact of data centers. In our always-on, always-online culture, they are the backbone of both our economy and our autonomy, providing anytime-anywhere access to the applications and data that punctuate our experience of both business and leisure.ĭespite the importance of such facilities, when I tell people I work in the data center industry, it’s sometimes more of a conversation stopper rather than a conversation starter. The retailer said integrating Bolt “was a remarkably smooth and swift endeavor, requiring minimal effort and allowing us to prioritize our other ongoing initiatives without skipping a beat.Data centers are a fundamental part of modern-day living. Not only does our accelerated checkout seamlessly align with our objective of providing efficient service, but the integration process with Bolt has further reinforced this commitment.” Revolve said in the case study when it comes to its customer experience, “our primary focus is to deliver unparalleled speed and convenience from browsing the site to checking out swiftly and receiving the product in hand fast. “Revolve only needed one team member to implement Bolt, demonstrating the platform’s ease of integration and user-friendly design.” ![]() “Moreover, the implementation of Bolt was efficient and straightforward,” the case study’s authors said. Bolt said there was a 3.2 percent overall e-commerce conversion and a whopping 30 percent increase in conversion for mobile Bolt account holders versus guest shoppers. The test results showed the group of shoppers using Bolt drove higher sales (a 4 percent increase) as compared to the control group. ![]() The 2023 Most Influential ESG Leaders Share What the Industry Can Do to Achieve ESG Outcomes ![]()
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