Exploring the Energy Impact of ERP and AI in the Cloud
Jonathan R.
Finance and AI Lead | Finance Transformation with SAP S/4HANA | MBA | Chartered Management Consultant (ChMC MCMI)
Exploring the Energy Impact of ERP and AI in the Cloud
Cloud computing has revolutionised the way we think about IT. AI is actively changing the future of work. That is great but the rise in cloud usage and now increasing energy hungry GPU’s for AI raises the pertinent question on how green the future of cloud actually is.
Cloud computing contributes to carbon consumption
What does AI mean for energy consumption
The energy demand for cloud computing is increasing rapidly, and the use of artificial intelligence (AI) is contributing to this trend. According to the International Energy Agency (IEA), the energy consumption of data centres worldwide is expected to increase by more than 50% by 2030. The IEA also reports that AI already serves more than 50 different uses in the energy system, and that the market for the technology in the sector could be worth up to USD 13 billion.
AI models require significant computational power, and this has led to concerns about their energy consumption. A recent estimate suggests that AI already accounts for about 15% of Google’s total energy use over the prior three years. However, data is not systematically collected on AI’s energy use and wider environmental impacts, and there is a need for greater transparency and tracking – especially as models grow.
Hugging Face, an AI company in the US, has said its multilingual text-generation AI used around 433 megawatt-hours (MWh) during its training, which is enough to power 40 average homes in the US for a year.
Why does this matter
Companies should care about the carbon consumption of their IT applications for several reasons:
What are the hyperscalers doing?
Efforts by hyper scalers have pushed for carbon neutral energy. I remember being in California in Google's cloud space and seeing examples of the never ending wires and racks that make up a data centre and I thought then about the energy usage, the cooling needs and increasing demand.
Google Cloud has been working to reduce the environmental impact of cloud computing through innovative renewable energy purchasing and commitment . According to a report by Google, the company’s data centres around the world use about twice as much electricity as the city of San Francisco. In 2020, Google used 15.5 terawatt hours of electricity, and the majority of that goes to its data centres.
While using cloud-based services results in some additional energy consumption from the use of Google servers and an increase in traffic on the Internet, Google has committed to using 100% renewable energy for its data centres by 2030. In fact, Google Cloud has already saved 750 GWh of electricity, which is equivalent to half the annual consumption of an average-sized steel mill.
It is also positive to note that the energy consumption of data centres has been growing, but not as fast as the increase in computing output. Between 2010 and 2018, the computing output of data centres increased by 550%, but their energy consumption grew by just 6%. This is due to significant energy efficiency improvements in the tech industry.
So what does this mean for S/4HANA?
The energy consumption of running SAP S/4HANA in the cloud versus on-premise in your own data centre can vary based on several factors. Here are some key points to consider:
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What can you do - tools to manage your energy consumption
S/4HANA in the cloud is designed with sustainability in mind, and it has several features that help manage and reduce carbon footprint:
However, the exact carbon footprint of using SAP S/4HANA in the cloud can vary depending on several factors, including the scale of usage, the efficiency of the data centres used, and the energy mix of the electricity used to power those data centres.?
The hyperscalers are also acting on this. For example, here are some of the tool AWS offers to monitor energy consumption:
Microsoft Azure has been carbon-neutral since 2012, and the company has set a goal to use 100% renewable energy for its data centres by 2025. Microsoft has also developed a platform called Microsoft Cloud for Sustainability, which allows organisations to combine disparate data sources into one place and help provide insights into how to improve their sustainability approaches. Microsoft measures energy and water use at its data centres to improve sustainability across the Azure Cloud. The company tracks Power Usage Effectiveness (PUE) and Water Usage Effectiveness (WUE) metrics at a global level and by operating geographies. The most recent data available is from April 2022.
In Conclusion?
In summary, the energy demand for cloud computing is increasing, and the use of AI is contributing to this trend. While AI has the potential to improve efficiency and accelerate innovation in the energy sector, it is important to monitor its energy consumption and environmental impact.?
It’s great to see this go from “it would be nice to be carbon neutral” to “we must be carbon neutral because it makes good business sense to do so”. Boards and CEOs are finally listening. Proactive monitoring, energy-conscious choices
The green ledger is a feature of SAP S/4HANA that will help ESG reporting and feed into sustainable control tower monitoring and will provide transactional carbon accounting to support profitable, low-carbon business models. It can help you manage and reduce your carbon consumption in several ways:
Green ledger capabilities, by connecting your supply chain and vendors can carbon impacts of cloud be apportioned to buyers of cloud services and then further on into value chains of others who consume downstream products. By providing a more accurate and comprehensive view of your company’s carbon footprint, the green ledger can help you make more informed decisions about how to manage and reduce your carbon consumption. I would like to see this happen in the next 5-10 years.
Here at PwC we frequently work with organisations to work through these complex decisions and identify the right pathway to S/4HANA for them. We bring a robust approach, proven tools and templates and hard-earned experiences of doing this across industry sectors. To find out more, please contact me or Rohit Chandrasekhar - alternatively please visit https://www.pwc.co.uk/issues/transformation/finance.html.
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This article asks "What can you do?" Take the move to S/4HANA, with its vast CPU, memory and I/O demands, as an example. An S/4HANA migration is a once in a generation opportunity to baseline the carbon footprint of both existing and target SAP landscapes and measure the before/after differences. Create a baseline for each of your existing SAP applications, against which you can measure actual consumption vs. capacity. This will provide a known baseline of your SAP architecture’s CO2 emissions from which to measure how future changes, like moving to S/4HANA, will impact those emissions. Once you have your SAP baseline, you can begin to blast wasted cost and CO2 from your SAP architecture: 1. Eliminate – Slash waste. If it’s not in use, switch if off. If it’s not missed, delete it. 2. Standardise – Suppress variability to reduce cost-to-serve and maximise economies of scale. 3. Consolidate - Reign in cloud sprawl. Remove all duplications from processes and technologies. 4. Right-size – Place workloads on suitably sized instances. This is a quarterly iterative process. 5. Automate – If a task is manual, recurring and cumbersome, automate it. 6. Innovate – Leverage cloud technologies to replace traditional costs,
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