Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.
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Updated
Aug 7, 2025 - Go
Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.
GitHub Actions Runner Manager
KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
Google Cloud Karpenter Provider
Add-on for KEDA to scale HTTP workloads
Extensible generative AI platform on Kubernetes with OpenAI-compatible APIs.
My personal notes and projects from learning AWS cloud computing fundamentals.
A curated list of research papers, code, and tools applying deep reinforcement learning (DRL) to cloud/microservice resource scheduling and autoscaling.
🚀 Content of examples.openshift.pub
ScalerEval: Automated and Consistent Evalution Testbed for Auto-scalers in Microservices
TimeTerra is a cron scheduling kubernetes operator that allows you to define a schedule for executing actions at specific times and associate those actions with different resources
HireFire integration library for Ruby applications
Simulate the HPAScaleToZero feature gate on managed Kubernetes clusters
Hands-on projects, real-world labs, and practical demos focused on Huawei Cloud compute services. Explore virtual machines, auto scaling, container engines, and cloud-native architecture. Built for cloud engineers, developers, and learners working with Huawei’s ecosystem.
Provide AutoScalingGroup capability to OpenStack Kops
A lightweight, declarative stress testing CLI for modern developers.
VPA Tracker to help right-size your pods
sample spring boot application prepared for auto-scaling on single/many target machines
Add a description, image, and links to the autoscaling topic page so that developers can more easily learn about it.
To associate your repository with the autoscaling topic, visit your repo's landing page and select "manage topics."