Team workflows
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About WECORE
WECORE Cloud deploys and operates HPC, GPU and AI platforms on infrastructure you own or lease
WECORE Cloud is one platform for two connected outcomes: organizations equip their teams to run demanding workloads, and service providers build cloud services for their customers. WECORE deploys and operates the platform on infrastructure they own or lease.
Compare all products
From click to cluster: users choose the environment they need (Jupyter, an HPC platform, Kubernetes, an LLM service, or a desktop) and the platform provisions it, deployed and operated by WECORE.
Workflows
Workloads
42
HPC platform
HPC clusters
Monitor HPC platforms, queues, and research services from one place.
Cluster details
Aurora Research Lab
Ready · HPC · Created by Hana Naderi
Current status
Ready
Cluster services are online and accepting computational jobs.
- Template
- Research HPC cluster
- Login node
- 1 × gateway.medium
- Compute pool
- 8 × compute.xlarge
- Control node
- 1 × control.large
Open OnDemandPortal ready
JupyterLabNotebook ready
GrafanaMonitoring ready
cfd-wing-sweepRUNNING64 cores
genome-align-batchRUNNING96 cores
mesh-refine-042QUEUED32 cores
Kubernetes
Create Kubernetes cluster
Choose a template, size the control plane and single worker group, review the preflight checks, and create the cluster.
Template and topology
Start from an approved Kubernetes template.
nebula-lab
Kubernetes production · v1.30
- Control plane
- standard-2
- Workers
- 3 × medium
Access and governance
Define cluster-specific access.
Worker groupExactly one
kubeconfigFresh per download
The panel creates a fresh credential for each download and does not store the private key.
Preflight and review
Validate and confirm the request.
Approved template and worker-node size
Required quota: 8 vCPU / 24 GB RAM
Wallet check: ready for provisioning
Namenebula-lab
Workers3 × medium
Kubernetesv1.30
AccessFresh credential per download
Product preview
You completed the setup walkthrough
These controls illustrate what authorized users receive after the service is deployed for their organization. This preview creates no resources.
LLM deployment
Launch Qwen2.5-7B-Instruct
Start a managed AI model service for research and production workloads.
Product preview
This control is part of the capability preview
After the platform is deployed for an organization, authorized users complete this workflow in their assigned environment. This preview creates no resources.
Interactive product preview: sample data. Try the dashboard controls; the workflows, clusters and names shown are illustrative only.
For organizations and service providers
What we build on infrastructure the buyer owns or leases
Guided
From request to a managed environment
A user picks an approved environment in the panel; the platform provisions it without a ticket to your infrastructure team.
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Platform offerings
The portfolio spans HPC platform, Cloud Server, Dedicated Cloud, WECORE Kubernetes, Cloud Desktop, LLM service, QuFabric, and Marketplace. Panel products enabled for a deployment are available directly in the browser.
Open-source technologies
OpenStack + Ceph + Kubernetes
Widely used infrastructure technologies, integrated into one managed platform.
How WECORE deploys and operates it
One in-house team, from build to support
One in-house team builds WECORE Cloud, and that same team takes on deployment and support. The engagement is planned with you, and integration, handover and ongoing operations are shared with your infrastructure team.
Deployment, upgrades, and operations, together with your team.
What your users can do
From request to a working environment
After deployment, users choose approved environments without managing the underlying infrastructure. Your infrastructure team retains the agreed controls for policy, quota, and access.
Choose a platform
Users choose an approved environment from the platform catalog.
Automatic provisioning
The platform prepares compute, GPU, network, storage, and access without requiring users to operate the underlying stack.
Web access & monitoring
Users reach their environment from the browser and track work, usage, and quota.
Remote support
Users and infrastructure teams can reach WECORE remotely when support is needed.
Selected products
Selected services on one managed platform
These examples from the WECORE portfolio share one cloud management panel and use open-source technologies and open-weight AI models where appropriate.
HPC platform
Managed batch and parallel computing
Give research and engineering teams managed batch and parallel computing on infrastructure your organization controls.
Explore HPC
Cloud Server
Virtual machines for your users
After deployment, approved users can create virtual machines for internal applications, development, and research workloads.
Explore servers
Dedicated Cloud
Dedicated OpenStack cloud
Turn raw datacenter capacity into sellable, dedicated OpenStack and Ceph clouds for individual customers.
Explore Dedicated Cloud
WECORE Kubernetes
Managed K8s clusters
Application teams can create managed Kubernetes clusters from templates approved for the organization and access each with its own kubeconfig.
Explore KaaS
QuFabric
Managed quantum simulation
Research teams can run simulations in JupyterLab notebooks with curated open-source engines and version-pinned environments.
Explore QuFabric
