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vaughanknight authored and danuw committed Feb 11, 2024
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Expand Up @@ -30,7 +30,7 @@ When software does more when the electricity is clean and do less when the
electricity is dirty, or runs in a location where the energy is cleaner, we call
this **carbon aware software**.

> todo: insert the image of demand shaping here
> ```todo: insert the image of demand shaping here```
The Carbon Aware SDK helps you build the carbon aware software solutions with
the intelligence to use the greenest energy sources. Run them at the greenest
Expand Down Expand Up @@ -75,6 +75,8 @@ The Carbon Aware SDK is being used by large and small companies around the
world. Some of the world’s biggest enterprises and software companies, through
to start-ups. Both UBS and Vestas have used the SDK, with further details over on the [adopters overview](./docs/adopters.md).

Both UBS and Vestas have used the SDK, with more information ```link to case study page```

Machine Learning (ML) workloads are a great example of long running compute
intensive workloads, that often are also not time critical. By moving these workloads to a different time, the carbon emissions from the ML training can be reduced by up to 15%, and by moving the location of the training this can be
reduced even further, at times by up to 50% or more.
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