From bcd18368345b5eccb6b588403f83697bbccc7552 Mon Sep 17 00:00:00 2001 From: Pavneet <51172702+pavneeta@users.noreply.github.com> Date: Tue, 13 May 2025 22:39:29 -0400 Subject: [PATCH] Update 2025-04-02-Scaling-Kubernetes-for-AI-and-Data-intensive-Workloads.md --- ...-Scaling-Kubernetes-for-AI-and-Data-intensive-Workloads.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/blog/_posts/2025-04-02-Scaling-Kubernetes-for-AI-and-Data-intensive-Workloads.md b/blog/_posts/2025-04-02-Scaling-Kubernetes-for-AI-and-Data-intensive-Workloads.md index 4bf9bedf5..a0e50f060 100644 --- a/blog/_posts/2025-04-02-Scaling-Kubernetes-for-AI-and-Data-intensive-Workloads.md +++ b/blog/_posts/2025-04-02-Scaling-Kubernetes-for-AI-and-Data-intensive-Workloads.md @@ -27,7 +27,7 @@ With AKS Fleet Manager, you can unlock true limitless scalability by leveraging --- ## Proof in Practice: Our 70,000 Node Demonstration -![fleet-multi-cluster!](/AKS/assets/images/fleetmulticluster/overview.png) +![fleet-multi-cluster!](/assets/images/fleetmulticluster/overview.png) To validate our approach and showcase real-world performance, we recently executed an experiment with Kueue and AKS Fleet Manager to execute batch jobs, which yielded remarkable results. Here are some of the highlights: @@ -36,7 +36,7 @@ To validate our approach and showcase real-world performance, we recently execut - **140,000 cores delivering 4.7 pFLOPS of performance**. - **Robust Scheduling**: Leveraged [Kueue](https://github.com/kubernetes-sigs/kueue) and Fleet's multi-cluster resource placement to efficiently schedule and operate workloads seamlessly across all clusters. -![fleetview!](/AKS/assets/images/fleetmulticluster/fleetview.png) +![fleetview!](/assets/images/fleetmulticluster/fleetview.png) ![multiclusterview!](/AKS/assets/images/fleetmulticluster/multicluster view.png)