cloudai-fusion  by QQ3221197721

Unified cloud-native AI platform for intelligent resource management

Created 1 month ago
326 stars

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Project Summary

Summary

CloudAI Fusion is an open-source platform unifying cloud-native infrastructure management with AI-powered resource scheduling. It addresses enterprise pain points of deployment complexity, multi-cloud security fragmentation, and AI resource waste, targeting organizations seeking optimized AI resource utilization and enhanced multi-cloud security through intelligent automation.

How It Works

The platform integrates cloud-native infrastructure management with AI-driven resource scheduling via an API Server, Scheduler, Agent, and AI Engine. It leverages GPU topology-aware scheduling (NVLink-aware) and four AI agents for optimization, security, cost, and operations. LLM integration powers a conversational AI assistant for operations and incident analysis. It also features an eBPF service mesh for low-overhead networking and WebAssembly for serverless functions.

Quick Start & Requirements

  • Primary install/run command: bash ./start.sh (Linux/macOS) or bash start.bat (Windows).
  • Prerequisites: Docker Desktop (with Docker Compose), Kubernetes 1.30+. GPU support requires docker-compose.gpu.yml and NVIDIA runtime.
  • Links: Local Deployment: docker-compose.yml, docker-compose.gpu.yml; API Spec: api/openapi.yaml.

Highlighted Details

  • Multi-Cloud Management: Unified API for ACK, EKS, AKS, GKE, CCE, TKE.
  • AI Resource Optimization: GPU topology-aware scheduling (NVLink-aware), fine-
Health Check
Last Commit

3 weeks ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
368 stars in the last 30 days

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