From 0cec58fad1ee95bfa6b59e360b791332964e7f5e Mon Sep 17 00:00:00 2001 From: Vaughan Knight Date: Thu, 8 Feb 2024 08:42:31 +1100 Subject: [PATCH] Minor updates, included adopters page link Minor updates, included adopters page link --- README.md | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 17bf833d8..805251c47 100644 --- a/README.md +++ b/README.md @@ -6,8 +6,7 @@ The Carbon Aware SDK is a toolset to help you measure the carbon emissions of yo ![Carbon Aware Software](./images/carbon-aware-software.png) -By knowing the carbon emissions of the energy that powers your applications, -you and your organisation can leverage greener energy sources to reduce your CO2 emissions by: +By knowing the carbon emissions of the energy that powers your applications, you and your organisation can leverage greener energy sources to reduce your CO2 emissions by: * Building AI models when carbon emissions are lower * Deploying software into the cloud in locations that have greener energy sources @@ -80,14 +79,10 @@ deployment in the greenest location. 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 page](./docs/adopters.md). +to start-ups. Both UBS and Vestas have used the SDK, with further details over on the [adopters overview](./docs/adopters.md). 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 +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. ## What does the SDK/API provide that 3rd party data providers such as WattTime or ElectricityMaps do not?