Manage GPU/NPU servers together
User requests and allocation
Roles, access, usage, and audit
Operations teams are becoming the bottleneck before GPUs do
AI factories and AX programs require people who understand GPUs, servers, model serving, and secure networks together.
Shared equipment gets locked by a few teams, while idle GPUs remain invisible to budget owners.
Centrally purchased GPUs need usage, access, quota, and audit evidence across teams.
Nadoo Cloud creates a GPU virtual-server service inside the organization
User self-service
Researchers and operators request the GPU workspace they need and connect directly.
GPU sharing and recovery
Share one GPU across multiple users and recover long-held or idle capacity.
Access and audit
Govern terminal, Jupyter, and code-server access with user and workload audit trails.
On-prem deployment
Run GPU services inside customer networks, IDCs, labs, and secure environments.
Product screen
Users request capacity. Operators keep control.
Nadoo Cloud is designed as an internal GPU service console for GPU VMs, user roles, quota, and access paths.
Diagnostics become sharing policy and operations
Register
Register GPU/NPU equipment into an operator-managed resource pool.
Share
Apply team quotas and GPU-sharing policy so more users can work.
Govern
Control access, usage, termination, cleanup, and audit records as an operating process.
Expand
Extend operations from GPUs to NPUs and edge accelerators.
Designed for real enterprise constraints
For AI factories, labs, pharma AX, and public GPU programs, Nadoo Cloud focuses on turning internal infrastructure into a service when public cloud alone is not enough.
On-prem and IDC installation
Closed-network LLM/VLM serving
NVIDIA GPU and heterogeneous NPU roadmap
ISO 27001-based security operations