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Copy file name to clipboardexpand all lines: pages/environmental-footprint/additional-content/environmental-footprint-calculator.mdx
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Each product will have its own set of criteria to allocate the environmental footprint, considering factors such as server utilization rates, operational timeframes, and the specific technical requirements of the product. By customizing the allocation rules for each offering, we can ensure a more accurate and fair representation of the environmental impact associated with each product.
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#### Bare Metal
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You can find the specifications of calculation for each of the available products in the list below. Click on a product name to expand or collapse its details.
For bare metal servers, the allocation of environmental impact is straightforward due to the direct association between a user and a server. The environmental impact of a bare metal server is entirely attributed to the user utilizing it. This encompasses the energy consumption during its operation, as well as a portion of the impact from the server's manufacturing process.
The manufacturing impact is prorated based on the server's lifespan and the duration of its use by the customer. By dividing the total manufacturing impact by the expected lifetime of the server and then allocating it according to the specific usage period, we ensure that each user is accountable for their fair share of the server's overall environmental footprint.
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For bare metal servers, the allocation of environmental impact is straightforward due to the direct association between a user and a server. The environmental impact of a bare metal server is entirely attributed to the user utilizing it. This encompasses the energy consumption during its operation, as well as a portion of the impact from the server's manufacturing process.
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<Messagetype="important">
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Currently, our calculations for Elastic Metal GPU servers do not include the environmental impact of GPU manufacturing due to insufficient data from the manufacturer. While the impact of CPUs, RAM, disk, and energy consumption is accounted for, the absence of GPU manufacturing data means the figures provided today are underestimated.
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The manufacturing impact is prorated based on the server's lifespan and the duration of its use by the customer. By dividing the total manufacturing impact by the expected lifetime of the server and then allocating it according to the specific usage period, we ensure that each user is accountable for their fair share of the server's overall environmental footprint.
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We will update our methodology as soon as more reliable data on GPU manufacturing becomes available.
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</Message>
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<Messagetype="important">
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Currently, our calculations for Elastic Metal GPU servers do not include the environmental impact of GPU manufacturing due to insufficient data from the manufacturer. While the impact of CPUs, RAM, disk, and energy consumption is accounted for, the absence of GPU manufacturing data means the figures provided today are underestimated.
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##### Calculation example
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We will update our methodology as soon as more reliable data on GPU manufacturing becomes available.
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</Message>
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For the use of an Elastic Metal server, with a lifespan of 6 years (52 560 hours) and power of 110w, for 100 hours and considering via Boavizta estimates that the impact of the manufacturing of this server is 850 kgCo2e, we make the following calculation:
For the use of an Elastic Metal server, with a lifespan of 6 years (52 560 hours) and power of 110w, for 100 hours and considering via Boavizta estimates that the impact of the manufacturing of this server is 850 kgCo2e, we make the following calculation:
Therefore 1,62 kgCO2e is added to the total manufacturing impact for the use of this server.
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</Concept>
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<Concept>
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#### Instances
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For Instances, the calculation of the environmental footprint takes into consideration all the elements already described on this page.
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The calculations performed across all phases of the product lifecycle are considered, including the calculations for Bare Metal, as Instances are hosted on physical servers.
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Therefore 1,62 kgCO2e is added to the total manufacturing impact for the use of this server.
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The following elements are additionally considered:
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- **Hypervisor resources** - the resources (CPU, RAM, and disk, for example) used in the physical hypervisor servers that create and run the virtual Instances.
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- **Instance offer resources** - the vCPU, RAM, and disk resources used when you use an Instance.
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#### Instances
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The calculation for the elements above can be broken down into:
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- **Manufacturing Impact**
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- Manufacturing of the underlying physical servers (hypervisors) necessary to run the Instances.
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- Distribution of the manufacturing impact according to the resources consumed by the Instance (vCPU, RAM, storage).
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- **Operational Impact**
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- Energy consumption of the hypervisors during Instance usage.
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- [Power Usage Effectiveness (PUE)](/environmental-footprint/concepts#pue-power-usage-effectiveness) specific to the data center where the Instance is hosted.
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- Energy mix of the country that provides the electricity.
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- **Usage Impact**
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- Resources consumed by the Instance, calculated based on the material specifications of the hypervisors.
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- **Indirect Emissions**
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- Impact related to cross-functional services necessary to guarantee the operation of the Instance, such as network and shared storage.
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When calculating the footprint of an Instance, you must distribute the resources according to their proportional consumption on the hypervisor:
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-**CPU** - Consider the share of vCPUs reserved compared to the total number of physical cores available.
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-**RAM** - Consider the share of allocated RAM compared to the total RAM of the hypervisor.
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-**Storage** - Consider the use of allocated storage compared to the total capacity of the hypervisor.
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