Platform Pricing Architecture Node Status
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32 GPU Slots Available — Tesla P40 Infrastructure

GPU Cloud Workspaces Production-minded compute

Kubernetes-orchestrated GPU environments with isolated namespaces, persistent storage, and direct JupyterLab access. From experiment to production without the infrastructure overhead.

Start Free Trial Provision Workspace → Client Portal
32
GPU Slots Available
P40
Tesla GPU Architecture
100%
Namespace Isolation
betopia-gpu — workspace provisioning
$ kubectl get node gpu-node01
NAME        STATUS  GPU-SLOTS
gpu-node01  Ready   32

$ workspace profile
gpu slots    1 / 2 / 4
cpu          2 to 8 vCPU
memory       8Gi to 32Gi
storage      persistent PVC

$ workspace status
✔ JupyterLab endpoint active
✔ Billing lifecycle connected via WHMCS
✔ Namespace isolation enforced
$
Platform Capabilities

Built for usable
GPU delivery

Centered on client workspaces instead of bare VMs. Delivery is faster, access is cleaner, lifecycle automation is maintainable.

⬡
Client Isolation
Each workspace provisioned in its own Kubernetes namespace with dedicated resource limits, token-protected access, and persistent project volumes.
Per-client Kubernetes namespace
Token-protected JupyterLab endpoints
Persistent PVC storage per workspace
Hard resource limit enforcement
◈
GPU Scheduling
Tesla P40 GPUs with Kubernetes scheduling and time-sliced slot plans. Flexible utilization while preserving full operational control of the node.
Tesla P40 dedicated compute node
Kubernetes-native GPU scheduling
1, 2, or 4 slot configurations
Time-sliced for flexible utilization
⬡
Billing Integration
WHMCS attached directly to the provisioning layer. Full create, suspend, resume, and terminate automation tied to billing lifecycle events.
WHMCS provisioning layer integration
Automated create & terminate flows
Suspend / resume on billing events
Evolves into a sellable product line
System Architecture

Stack-centered
workspace delivery

Three layers: client portal, Kubernetes orchestration, and Tesla GPU hardware. Each connected, each automated.

🖥
Client Portal
WHMCS billing + lifecycle management. Order, suspend, resume, terminate.
⎈
Kubernetes
Namespaced workspaces, persistent volumes, resource quotas, and GPU scheduling.
⚡
Tesla P40 Node
Dedicated GPU hardware with 32 available slots, JupyterLab endpoints per client.
Live Node Status

gpu-node01

gpu-node01
Tesla P40 · Kubernetes · 32 Total Slots
Node Ready — Accepting provisioning
In use
Available
Workspace Plans

Starter plans for teams
that need GPU access quickly.

Optimized for managed workspaces. Dedicated and hybrid plans can be layered in once usage patterns settle.

Need a zero-cost test first? Start with the free trial workspace. WHMCS will let the order complete without an online processor for trial and offline-payment flows.

Starter
1 Slot
Lightweight experimentation, notebooks, and model checks.
$ 59 / month
GPU Slots1 shared slot
vCPU2 vCPU
Memory8 GB RAM
Storage20 GB PVC
InterfaceJupyterLab
NamespaceIsolated
Order Starter →
Most Popular
Professional
2 Slots
Balanced environment for active development and heavier notebook sessions.
$ 109 / month
GPU Slots2 shared slots
vCPU4 vCPU
Memory16 GB RAM
Storage50 GB PVC
InterfaceJupyterLab
NamespaceIsolated
Order Professional →
Power
4 Slots
Higher-capacity workspace for broader GPU share and memory headroom.
$ 199 / month
GPU Slots4 shared slots
vCPU8 vCPU
Memory32 GB RAM
Storage100 GB PVC
InterfaceJupyterLab
NamespaceIsolated
Order Power →

GPU compute,
ready now.

Provision a workspace in minutes. Persistent storage, isolated environments, and a clean path to production.

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