From 195658af0e35fee988589cd61e83731c4cf470dd Mon Sep 17 00:00:00 2001 From: alnoam Date: Mon, 11 Mar 2024 13:53:54 +0200 Subject: [PATCH] Update README --- README.md | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 02fab17..9a1ea51 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,12 @@ +
+ # 🚀 🔥 Fractional GPU! ⚡ 📣 ## Run multiple containers on the same GPU with driver level memory limitation ✨ and compute time-slicing 🎊 +`🌟 Leave a star to support the project! 🌟` + +
+ ## 🔰 Introduction Sharing high-end GPUs or even prosumer & consumer GPUs between multiple users is the most cost-effective @@ -45,6 +51,7 @@ Here is an example output from A100 GPU: +---------------------------------------------------------------------------------------+ ``` +### 🐳 Containers | Memory Limit | CUDA Ver | Ubuntu Ver | Docker Image | |:-------------:|:--------:|:----------:|:----------------------------------------:| @@ -84,12 +91,12 @@ processes and other host processes when limiting memory / utilization usage Build your own containers and inherit form the original containers -You can find a few examples [here](https://github.com/allegroai/clearml-fractional-gpu/tree/main/examples). +You can find a few examples [here](https://github.com/allegroai/clearml-fractional-gpu/docker-examples). -## 🌸 Implications +## ☸ Kubernetes -Our fractional GPU containers can be used on bare-metal executions as well as Kubernetes PODs. -Yes! By using one our Fractional GPU containers you can limit the memory consumption your Job/Pod and +Fractional GPU containers can be used on bare-metal executions as well as Kubernetes PODs. +Yes! By using one the Fractional GPU containers you can limit the memory consumption your Job/Pod and allow you to easily share GPUs without fearing they will memory crash one another! Here's a simple Kubernetes POD template: @@ -123,7 +130,9 @@ processes and other host processes when limiting memory / utilization usage The containers support Nvidia drivers <= `545.x.x` We will keep updating & supporting new drivers as they continue to be released -**Supported GPUs**: GTX series 10, 20, 30, 40, RTX A series, and Data-Center P100, A100, A10/A40, L40/s, H100 +**Supported GPUs**: RTX series 10, 20, 30, 40, A series, and Data-Center P100, A100, A10/A40, L40/s, H100 + +**Limitations**: Windows Host machines are currently not supported, if this is important for you, leave a request in the [Issues](/issues) section ## ❓ FAQ