diff --git a/README.md b/README.md index e233c9fa..0398bda8 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,8 @@ --- **Project News** ⚡ -- \[2023/09\] We moved to under [`ml-energy`](https://github.com/ml-energy). Please stay tuned for new exciting projects! +- \[2023/10\] We released Perseus, an energy optimizer for large model training. Get started [here](https://ml.energy/zeus/perseus/)! +- \[2023/09\] We moved to under [`ml-energy`](https://github.com/ml-energy)! Please stay tuned for new exciting projects! - \[2023/07\] [`ZeusMonitor`](https://ml.energy/zeus/reference/monitor/#zeus.monitor.ZeusMonitor) was used to profile GPU time and energy consumption for the [ML.ENERGY leaderboard & Colosseum](https://ml.energy/leaderboard). - \[2023/03\] [Chase](https://symbioticlab.org/publications/files/chase:ccai23/chase-ccai23.pdf), an automatic carbon optimization framework for DNN training, will appear at ICLR'23 workshop. - \[2022/11\] [Carbon-Aware Zeus](https://taikai.network/gsf/hackathons/carbonhack22/projects/cl95qxjpa70555701uhg96r0ek6/idea) won the **second overall best solution award** at Carbon Hack 22. diff --git a/docs/index.md b/docs/index.md index 4bf7493b..e6aac8dd 100644 --- a/docs/index.md +++ b/docs/index.md @@ -18,6 +18,8 @@ hide: --- **Project News** ⚡ +- \[2023/10\] We released Perseus, an energy optimizer for large model training. Get started [here](https://ml.energy/zeus/perseus/)! +- \[2023/09\] We moved to under [`ml-energy`](https://github.com/ml-energy)! Please stay tuned for new exciting projects! - \[2023/07\] [`ZeusMonitor`][zeus.monitor.ZeusMonitor] was used to profile GPU time and energy consumption for the [ML.ENERGY leaderboard & Colosseum](https://ml.energy/leaderboard). - \[2023/03\] [Chase](https://symbioticlab.org/publications/files/chase:ccai23/chase-ccai23.pdf), an automatic carbon optimization framework for DNN training, will appear at ICLR'23 workshop. - \[2022/11\] [Carbon-Aware Zeus](https://taikai.network/gsf/hackathons/carbonhack22/projects/cl95qxjpa70555701uhg96r0ek6/idea) won the **second overall best solution award** at Carbon Hack 22.