NADOO CLOUD

Turn Owned GPUs into a Shared Cloud inside Your Organization

Nadoo Cloud lets a small AI-infrastructure team operate far more GPU capacity by turning owned GPUs into a service you can request, allocate, and govern.

Nadoo Cloud console
PROBLEM

People Ran Short before GPUs Did

You bought expensive GPUs, but utilization is still low. The problem is not the hardware — it is the operating model.

  • 01

    Shortage of Infra & AI Operations Experts

    As AI factories and AX grow, people who understand GPUs, servers, model serving, and security networks together become the bottleneck.

  • 02

    Resource Monopoly and Idle GPUs

    When shared hardware is locked to one team or left idle, even the decision to buy more becomes hard to justify.

  • 03

    No Cost Accounting or Monitoring

    There is little audit or settlement basis to explain which team used how much of the centrally funded GPUs.

CAPABILITIES

Nadoo Cloud Builds a GPU Virtual-Server Service inside Your Org

User Self-Service

Researchers and practitioners request the GPU workspace they need and connect right away.

GPU Partitioning & Reclaim

Multiple users share one GPU, while long-held and idle machines are reclaimed.

Access & Audit

Control terminal, Jupyter, and code-server access while keeping user and job history.

Air-Gapped Deployment

Operable quality and long-term trust are set as the product baseline.

PROCESS

Diagnosis Leads to Sharing and Ops

01

Register

Register GPU/NPU devices and group them into a resource pool operators manage.

02

Share

Per-team quotas and GPU-slicing policies let more users share the same hardware.

03

Govern

Access, usage, shutdown, reset, and audit records become part of the operating procedure.

Before Buying More GPU Servers, Turn the Resources You Already Have into a Service

Nadoo Cloud does not sell GPUs — it is operating software that actually puts your owned GPUs to use.

나두클라우드 | Nadoo AI