From 567d362b4d87257220599584cff63a08387629d2 Mon Sep 17 00:00:00 2001 From: revital Date: Tue, 16 Jul 2024 10:46:01 +0300 Subject: [PATCH] Update README --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 1fbc33b..5021f10 100644 --- a/README.md +++ b/README.md @@ -19,8 +19,6 @@ We present pre-packaged containers supporting CUDA 11.x & CUDA 12.x with pre-bui This means multiple containers can be launched on the same GPU, ensuring one user cannot allocate the entire host GPU memory! (No more greedy processes grabbing the entire GPU memory! Finally we have a driver level hard limiting memory option). -![Fractional GPU diagram](docs/fractional_gpu_diagram.png) - ## 🚀 Offerings ClearML offers several options to optimize GPU resource utilization by partitioning GPUs: @@ -38,6 +36,7 @@ With these options, ClearML enables running AI workloads with optimized hardware This repository covers container-based fractional GPUs. For more information on ClearML's fractional GPU offerings, see the [ClearML documentation](https://clear.ml/docs/latest/docs/clearml_agent/clearml_agent_fractional_gpus). +![Fractional GPU diagram](docs/fractional_gpu_diagram.png) ## ⚡ Installation