Accurately track your environmental impact and make informed choices.
Available for Elastic Metal, Apple Silicon & CPU Instances!
Get comprehensive insights of your environmental footprint through monthly reports, enriched in real-time and accessible anytime. Breakdowns by project, region, and product show real usage—not static averages—for metrics like carbon emissions (kgCO₂e) and water usage (m³), helping you visualize the footprint of your infrastructure.
See the environmental impact of each Elastic Metal, Apple Silicon, or CPU Instance products before deploying. Within each product family, compare references using key metrics (e.g., kgCO₂e/hr) and a 1-to-3 leaf scale to guide your choices.
Monthly reports are provided in an easy-to-share format, built on methodologies co-developed with ADEME. This data simplifies CSR reporting, aids in meeting sustainability goals, and supports transparent communication with all stakeholders. Track how your footprint evolves over time and adjust accordingly.
According to International Banker, the total power consumed by data centres will rise to more than 1,000TWh by 2026, roughly equivalent to Japan’s electricity consumption.
Calculating a digital product's footprint is complex, involving multiple lifecycle stages. The absence of a universal calculation method makes provider comparisons challenging.
The EU’s Corporate Sustainability Reporting European Directive (CSRD) mandates annual environmental impact reporting by 2025 for large companies and 2027 for smaller ones.
Receive detailed reports on the carbon footprint and water consumption associated with the use of our Elastic Metal, Apple Silicon and CPU Instances products. With precise metrics based on a comprehensive lifecycle analysis, you gain a clear and accurate view of your environmental impact.
You'll be able to compare servers based on their carbon footprint. A new criteria to help you take environment into account when building your new infrastructure.
We partnered with IJO, a specialist in responsible digital practices, to develop the most thorough methodology possible. Our calculations are based on ADEME’s Product Category Rules (PCR), an industry standard that ensures reliable and consistent measurements. This approach covers the entire lifecycle impact, from server manufacturing to their use in our data centers.
A reliable methodology is crucial for trustworthy data and informed infrastructure decisions, but no industry standard exists. Cloud providers lack a shared tool for comparing the environmental impact of AWS versus GCP. This article explains how we built our Environmental Footprint Calculator, detailing its methodology and how it empowers more eco-friendly choices.
Yes, we will proceed product by product so that, in time, you will have access to environmental impact information for each of the products you use.
The methodology we use is taking into account as many criteria as possible to get an image of the impact produced but also left in the ecosystem.
Thus the calculator takes into account:
Scope 3:
The majority of emissions generated by Cloud consumption are in Scope 3!
Based on GCP Impact report from 2023,
Scope 1 emissions represent 1%of the total emissions
Scope 2 emissions represent 24%of the total emissions
Scope 3 = 75%of total emissions!
Not measuring Scope 3 would completely miscalculate your carbon footprint.
LCA:
Life Cycle Assessment (LCA) quantifies the emissions produced at each phase of the product or service’s life cycle, from its design to its end of life and its impact on natural resources, ecosystems, etc.
Following a LCA Methodology, like the The Datacenter and Cloud PCR does, is moving from a subjective calculation based on a company operations’ and value chain’s emission to a holistic approach quantifying impact of the life cycle of a product and a service on the environment around it.
Water:
Frequently ignored in cloud reporting, water is a major element of IT's impact on the planet. All the more so, generative AI/LLMs consume considerable amounts of water (cf. ChatGPT convo = 0.5 liters), and AI adoption is growing very fast.
When assessing cloud providers, Power Usage Effectiveness (PUE) is often highlighted. A PUE close to 1 indicates better energy efficiency. However, a strong PUE can sometimes mask a less efficient Water Usage Effectiveness (WUE). For a realistic view of a data center’s environmental footprint, it’s essential to consider both metrics and that is why we provide transparent insights on consumption based on the Water Usage Efficiency (WUE) of our data centers.
