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About WECORE

We make AI & HPC infrastructure effortless

WECORE is a science-and-industry cloud platform. We turn raw datacenter capacity into self-service AI & HPC clouds — so researchers, AI teams, and organizations get compute in minutes, not weeks.
Explore the platform
WECORE platform
From click to cluster: pick the environment you need — Jupyter, Slurm, Kubernetes, LLM, or a Linux desktop — and WECORE provisions it on professional cloud infrastructure, automatically.
WECORE infrastructure
WECORE mission
Our mission
Built to remove infrastructure friction. Our goal is simple — get scientists and AI teams to results faster, while giving operators real control over cost and capacity.
Minutes
From request to running cluster
What used to take weeks of tickets and manual DevOps now takes a few clicks.
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Ready-to-run platforms
Jupyter, Slurm/HPC, Kubernetes, cloud servers, and Linux desktops — straight from the browser.
Open core
OpenStack + Kubernetes
Industry-standard and lock-in free — deployed on the operator's own infrastructure.
How it works

From click to cluster

WECORE hides OpenStack complexity behind a platform catalog — users just pick an environment, while operators keep policy, quota, and security in control.
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Cloud, Private, or Hybrid

One Platform. Built for Technical Workloads.

Run HPC, GPU, AI, and software-ready workloads with the deployment model that fits your performance and control needs

Flows

GPU Nodes
128 +18%
GPU Hours
42.8k +34%
Utilization
91.4% +12%
Queue Time
3m 12s -21%

Cloud HPC

HPC clusters

Monitor Slurm workspaces, queues, and research services from one place.

1 active
Active clusters Slurm OnDemand ready
Ready

Aurora Slurm Lab

Slurm 23.11 · Scientific computing workspace

Nodes
10
vCPU
256
Memory
1 TB
Jobs
3
Open OnDemand JupyterLab Grafana

Kubernetes

Create Kubernetes cluster

Choose a template, size the topology, review preflight checks, and launch provisioning.

Blueprint

Template and topology

Start from an approved Kubernetes blueprint.

nebula-lab Production Kubernetes · v1.30
Control plane
standard-2
Workers
3 × medium

Addons and access

Enable the essential services.

AutohealingEnabled
MonitoringEnabled

Kubeconfig access is generated after the real cluster is provisioned.

Preflight and review

Validate and confirm the request.

Approved template and worker size
Quota estimate: 8 vCPU / 24 GB RAM
Wallet check: ready for provisioning
Namenebula-lab
Workers3 × medium
Kubernetesv1.30
AddonsAutohealing + monitoring

LLM deployment

Launch Qwen 3.7

Start a managed inference endpoint for research and production experiments.