TW Compute Ecosystem
Seamlessly connect TW Compute with your existing tools and workflows
Prometheus
MonitoringIntegrate with Prometheus monitoring to track GPU cluster performance metrics in real-time, ensuring efficient AI workload operation.
Grafana
MonitoringVisualize TW Compute GPU computing data with custom dashboards to monitor cluster health status.
Terraform
AutomationUse Terraform to automate GPU cluster infrastructure management with IaC and no vendor lock-in.
AWS
Cloud ServicesIntegrate with AWS for hybrid cloud architecture, seamlessly migrating AI workloads between TW Compute and AWS.
Azure
Cloud ServicesIntegrate with Azure cloud services for data synchronization and resource management between TW Compute and Azure.
Kubernetes
AutomationDeploy and manage Kubernetes clusters on TW Compute for efficient operation of containerized AI applications.
Powerful API Interface
TW Compute's API allows you to automate GPU cluster resource management. Through RESTful API and WebSocket, you can achieve dynamic scaling, monitoring, and management of infrastructure with no vendor lock-in.
RESTful API
Complete GPU resource management interface
WebSocket
Real-time monitoring and event push
IAM & Permissions
Fine-grained access control
curl -X GET https://twcompute.com/api/v1/clusters \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json"
{ "clusters": [
{ "id": "cluster_123456",
"name": "AI-Training-Cluster-001",
"status": "running",
"specs": {
"gpu_type": "NVIDIA A100",
"gpu_count": 8,
"location": "Taiwan",
"deployment_time": "48h"
}
}
]}